Pub Date : 2017-04-01DOI: 10.1109/EBBT.2017.7956760
Fatih Elmas, Abdurrahman Yılmaz, M. Garip
The main purpose of this study is to overcome the difficulties experienced by the mothers during the sleeping period of the babies and to put the babies to sleep in a comfortable and peaceful way as if the babies were in the mother's lap. In this direction, the motion that the mother made while sleeping her baby on the lap was modeled, and a cradle designed to repeat mother movements based on this model. In the modeling phase, 10 subjects were experimented. A doll was given to the subjects and it was requested that to perform a baby rocking motion on their lap for 10 seconds. I he performed motions of the subjects were recorded with accelerometer of the mobile phone placed on the doll via an application (Accelerometer Analyser) compatible with the Android operating system. From the acceleration data, the motion trajectories of each subject were achieved through MATLAB. For this aim, firstly the noise in the data was filtered with moving average filter and then trapezoidal integration was applied twice to the filtered acceleration data. After that, the ideal route for the rocking motion on the lap was reached in consideration of the trajectories of the subjects. The mathematical model of the ideal route was derived by least square curve fitting method and the cradle following the mathematical model was designed in Solidworks environment. At the end of the study a prototype cradle was produced.
{"title":"Rocking motion of the baby sleeping on the mother's lap: Modeling and prototype automatic swing cradle design","authors":"Fatih Elmas, Abdurrahman Yılmaz, M. Garip","doi":"10.1109/EBBT.2017.7956760","DOIUrl":"https://doi.org/10.1109/EBBT.2017.7956760","url":null,"abstract":"The main purpose of this study is to overcome the difficulties experienced by the mothers during the sleeping period of the babies and to put the babies to sleep in a comfortable and peaceful way as if the babies were in the mother's lap. In this direction, the motion that the mother made while sleeping her baby on the lap was modeled, and a cradle designed to repeat mother movements based on this model. In the modeling phase, 10 subjects were experimented. A doll was given to the subjects and it was requested that to perform a baby rocking motion on their lap for 10 seconds. I he performed motions of the subjects were recorded with accelerometer of the mobile phone placed on the doll via an application (Accelerometer Analyser) compatible with the Android operating system. From the acceleration data, the motion trajectories of each subject were achieved through MATLAB. For this aim, firstly the noise in the data was filtered with moving average filter and then trapezoidal integration was applied twice to the filtered acceleration data. After that, the ideal route for the rocking motion on the lap was reached in consideration of the trajectories of the subjects. The mathematical model of the ideal route was derived by least square curve fitting method and the cradle following the mathematical model was designed in Solidworks environment. At the end of the study a prototype cradle was produced.","PeriodicalId":293165,"journal":{"name":"2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)","volume":"287 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114404101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-04-01DOI: 10.1109/EBBT.2017.7956776
S. Yener, R. Mutlu, T. Yener, H. Kuntman
Memristor has been proposed as the fourth missing fundamental circuit element in 1971. This new circuit element has a charge controlled resistance, saturation mechanism and zero-crossing hysteresis loop which cannot be mimicked by previously known circuit elements. It is a promising candidate for both digital and analog electric circuit applications. In this work, a memristor based timer circuit is proposed. Concept of the circuit is presented and its analysis is done. Simulation of the timer is done using the linear drift model of the TiO2 memristor and the result is compared to the analytical calculations.
{"title":"Memristor-based timing circuit","authors":"S. Yener, R. Mutlu, T. Yener, H. Kuntman","doi":"10.1109/EBBT.2017.7956776","DOIUrl":"https://doi.org/10.1109/EBBT.2017.7956776","url":null,"abstract":"Memristor has been proposed as the fourth missing fundamental circuit element in 1971. This new circuit element has a charge controlled resistance, saturation mechanism and zero-crossing hysteresis loop which cannot be mimicked by previously known circuit elements. It is a promising candidate for both digital and analog electric circuit applications. In this work, a memristor based timer circuit is proposed. Concept of the circuit is presented and its analysis is done. Simulation of the timer is done using the linear drift model of the TiO2 memristor and the result is compared to the analytical calculations.","PeriodicalId":293165,"journal":{"name":"2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114457382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-04-01DOI: 10.1109/EBBT.2017.7956765
R. Samli, V. Z. Sonmez, N. Sivri
Toxicity tests are required to detect the possible effects of pollutants on organisms. This study investigates the effect of Chemical Oxygen Demand (COD), suspended solid (SS) and pH parameters on toxicity of textile industry wastewaters except for the color parameter, effect of which is well known. Fish bioassay taking place in legal regulation of Turkey was used as toxicity test. At the end of the toxicity test, various values of the parameters were predicted through Artificial Neural Networks (ANN). In addition, Artificial Neural Networks were used to calculate the effect of each parameter on toxicity (%). Accordingly, COD is the parameter which mostly affects toxicity following color parameter and SS is the parameter which has the minimum effect. It is found that results deviate at the rate of 15.41% when values of COD parameter are excluded from the model input data and the error rate becomes 5.07% when SS parameter is excluded. In this study, the effect of each input of each parameter, which is an open ecosystem, based on selected parameters is successfully predicted through Artificial Neural Networks which is a heuristic method.
{"title":"Modeling the toxicity of textile industry wastewater using artificial neural networks","authors":"R. Samli, V. Z. Sonmez, N. Sivri","doi":"10.1109/EBBT.2017.7956765","DOIUrl":"https://doi.org/10.1109/EBBT.2017.7956765","url":null,"abstract":"Toxicity tests are required to detect the possible effects of pollutants on organisms. This study investigates the effect of Chemical Oxygen Demand (COD), suspended solid (SS) and pH parameters on toxicity of textile industry wastewaters except for the color parameter, effect of which is well known. Fish bioassay taking place in legal regulation of Turkey was used as toxicity test. At the end of the toxicity test, various values of the parameters were predicted through Artificial Neural Networks (ANN). In addition, Artificial Neural Networks were used to calculate the effect of each parameter on toxicity (%). Accordingly, COD is the parameter which mostly affects toxicity following color parameter and SS is the parameter which has the minimum effect. It is found that results deviate at the rate of 15.41% when values of COD parameter are excluded from the model input data and the error rate becomes 5.07% when SS parameter is excluded. In this study, the effect of each input of each parameter, which is an open ecosystem, based on selected parameters is successfully predicted through Artificial Neural Networks which is a heuristic method.","PeriodicalId":293165,"journal":{"name":"2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123011577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-04-01DOI: 10.1109/EBBT.2017.7956757
Mehmet Kurt, T. Ensari
Diabet is one of the metabolic trouble which is generally occurs genetic and environmental components. It happens increasing of blood level. In this study, diabet illness has been diagnosed with its features by classification with support vector machines (SVM) and artificial neural networks (multi layer perceptron). The method used for diagnosis is aritificial neural networks multi layer perceptron. We used SVM-Linear, SVM-Polinomial and SVM-Radial models. Diabet data set which will be used in our experiments obtained from UCI web site and organized. In this study, we compared several algorithms to diagnose illness rates. Diagnose right predictions (accuracy) are %77.08 for multi layer perceptron, %77.47 for support vector machines, %55.33 for polynomial kernel, %65.10 for radial based kernel and sigmoid kernel. Maximum recognition rate is %77.47 for SVM learning method.
{"title":"Diabet diagnosis with support vector machines and multi layer perceptron","authors":"Mehmet Kurt, T. Ensari","doi":"10.1109/EBBT.2017.7956757","DOIUrl":"https://doi.org/10.1109/EBBT.2017.7956757","url":null,"abstract":"Diabet is one of the metabolic trouble which is generally occurs genetic and environmental components. It happens increasing of blood level. In this study, diabet illness has been diagnosed with its features by classification with support vector machines (SVM) and artificial neural networks (multi layer perceptron). The method used for diagnosis is aritificial neural networks multi layer perceptron. We used SVM-Linear, SVM-Polinomial and SVM-Radial models. Diabet data set which will be used in our experiments obtained from UCI web site and organized. In this study, we compared several algorithms to diagnose illness rates. Diagnose right predictions (accuracy) are %77.08 for multi layer perceptron, %77.47 for support vector machines, %55.33 for polynomial kernel, %65.10 for radial based kernel and sigmoid kernel. Maximum recognition rate is %77.47 for SVM learning method.","PeriodicalId":293165,"journal":{"name":"2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121973978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-04-01DOI: 10.1109/EBBT.2017.7956762
Mehmet Iscan, Mert Sever
Active suspensions are designed to meet conflicting performance requirements such as ride comfort and safety. Achievable ride comfort performance without reaching the limits of road holding and suspension bottoming, is limited by the road disturbance roughness level. In order to obtain best ride comfort performance against different road induced disturbances, it is essential to switch among different controllers according to road roughness level. In this study, a classification algorithm based on logistic regression trained by gradient descent was presented to switch the controller with respect to road disturbance values. The classification algorithm with logistic regression model is trained by the road disturbance data provided by standards. A disturbance observer to estimate the road induced disturbance is designed, then a sigmoid activation function was proposed to change the controller by using only the road disturbance data. The suggested algorithm was tested on the road induced disturbance produced by observer. It was proved that the algorithm without complexity classified the road induced disturbance with the one hyperplane reducing the overfitting condition in training process. As a result, the proposed algorithm can be efficiently used to detect the controller switching instants in real time application.
{"title":"Gradient descent based classification of road induced disturbances for active suspension systems","authors":"Mehmet Iscan, Mert Sever","doi":"10.1109/EBBT.2017.7956762","DOIUrl":"https://doi.org/10.1109/EBBT.2017.7956762","url":null,"abstract":"Active suspensions are designed to meet conflicting performance requirements such as ride comfort and safety. Achievable ride comfort performance without reaching the limits of road holding and suspension bottoming, is limited by the road disturbance roughness level. In order to obtain best ride comfort performance against different road induced disturbances, it is essential to switch among different controllers according to road roughness level. In this study, a classification algorithm based on logistic regression trained by gradient descent was presented to switch the controller with respect to road disturbance values. The classification algorithm with logistic regression model is trained by the road disturbance data provided by standards. A disturbance observer to estimate the road induced disturbance is designed, then a sigmoid activation function was proposed to change the controller by using only the road disturbance data. The suggested algorithm was tested on the road induced disturbance produced by observer. It was proved that the algorithm without complexity classified the road induced disturbance with the one hyperplane reducing the overfitting condition in training process. As a result, the proposed algorithm can be efficiently used to detect the controller switching instants in real time application.","PeriodicalId":293165,"journal":{"name":"2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133746361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-04-01DOI: 10.1109/EBBT.2017.7956768
T. Artug, İ. Göker, O. Osman, B. Baslo
In this study, the effect of spectrograms from neuromuscular junction and tendon records for normal, neurogenic and myopathic motor units being constructed via EMG Simulator v3.6 on the differential diagnosis were investigated. Multi-layer perceptron is chosen as classifier. If only the neuromuscular junction records are applied to the network, the performance is 73.33%. If only tendon records are applied to the input of network, the performance is 94.67%. When neuromuscular junction and tendon records are applied together to the network, the performance is 100%.
{"title":"Classification of neuromuscular junction and tendon recordings of neuromuscular diseases by their spectrogram","authors":"T. Artug, İ. Göker, O. Osman, B. Baslo","doi":"10.1109/EBBT.2017.7956768","DOIUrl":"https://doi.org/10.1109/EBBT.2017.7956768","url":null,"abstract":"In this study, the effect of spectrograms from neuromuscular junction and tendon records for normal, neurogenic and myopathic motor units being constructed via EMG Simulator v3.6 on the differential diagnosis were investigated. Multi-layer perceptron is chosen as classifier. If only the neuromuscular junction records are applied to the network, the performance is 73.33%. If only tendon records are applied to the input of network, the performance is 94.67%. When neuromuscular junction and tendon records are applied together to the network, the performance is 100%.","PeriodicalId":293165,"journal":{"name":"2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121333331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-04-01DOI: 10.1109/EBBT.2017.7956764
Mehmet Hamza Erol, Faruk Bulut
The Travelling Salesman Problem is defined as returning to the starting point after visiting all the points with the least cost. In this study, a real-world application that calculates the route of the Travelling Salesman Problem using the current traffic intensity information from Google Maps is prepared. Different methods such as Exhaustive Search, Heuristic A-Star Search, BitMask Dynamic Programming, Branch-and-Bound Algorithm and Greedy Search have been used in developing the desktop application. All these methods but Greedy Search have given the same routes. A user-friendly interface, displaying the shortest route in distance or duration on Google Maps, has been developed by adding different features.
{"title":"Real-time application of travelling salesman problem using Google Maps API","authors":"Mehmet Hamza Erol, Faruk Bulut","doi":"10.1109/EBBT.2017.7956764","DOIUrl":"https://doi.org/10.1109/EBBT.2017.7956764","url":null,"abstract":"The Travelling Salesman Problem is defined as returning to the starting point after visiting all the points with the least cost. In this study, a real-world application that calculates the route of the Travelling Salesman Problem using the current traffic intensity information from Google Maps is prepared. Different methods such as Exhaustive Search, Heuristic A-Star Search, BitMask Dynamic Programming, Branch-and-Bound Algorithm and Greedy Search have been used in developing the desktop application. All these methods but Greedy Search have given the same routes. A user-friendly interface, displaying the shortest route in distance or duration on Google Maps, has been developed by adding different features.","PeriodicalId":293165,"journal":{"name":"2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132942178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-04-01DOI: 10.1109/EBBT.2017.7956759
Y. Çelık, Y. Usta, Mohammad Ghosheh
It is known that the apparent difference between the geometric factors and loading conditions in the cervical cage is caused by the limited high pressure and thus the collapse of the adjacent vertebral body of the cage, leading to clinical problems such as vertebral body rupture, bone loss, stability and fusion failure. Numerous techniques and methods with advantages and disadvantages are applied for these clinical problems. But the cost of spine testers and biomechanical spine testing is a time-consuming process, and other alternatives and end-to-end analysis of implants are worthwhile and necessary to develop. The aim of this study is to calculate the equivalent stretching and deformation of cervical cage implants of different thicknesses with the Finite Element Static Analysis models to quantitatively evaluate the tendency of collapse in clinically encountered conditions. In this context, PEEK (polyether ketone) has been chosen as a material because of the incentive results in recent years with the use of integrated screws and cages in a select group of patients. A force of 100 N was applied to the upper surface of the implant in accordance with the standards and the lower surface of the implant model was defined as a fix support. As a result of the analysis made on 3 different models with different thicknesses, the total deformation on the 5.0 mm, 6.0 mm and 7.0 mm systems was 0.073161 mm; 0.032413 mm; 0.025319 mm respectively, and the equivalent stresses was 47.722 MPa; 24.126 MPa and 20.43 MPa respectively. These values were found to be smaller than the yield strength of the material used (165 MPa), and as predicted, the maximum deformation of the model and the decrease in equivalent stress were observed to decrease. In addition, there are places where there is a singular load accumulation on the design, which in turn has confirmed that the use of costly and time-consuming testing processes and finite element analysis to avoid faulty production is appropriate.
{"title":"Static analysis of different thickness cervical implants using finite element analysis and comparison of results","authors":"Y. Çelık, Y. Usta, Mohammad Ghosheh","doi":"10.1109/EBBT.2017.7956759","DOIUrl":"https://doi.org/10.1109/EBBT.2017.7956759","url":null,"abstract":"It is known that the apparent difference between the geometric factors and loading conditions in the cervical cage is caused by the limited high pressure and thus the collapse of the adjacent vertebral body of the cage, leading to clinical problems such as vertebral body rupture, bone loss, stability and fusion failure. Numerous techniques and methods with advantages and disadvantages are applied for these clinical problems. But the cost of spine testers and biomechanical spine testing is a time-consuming process, and other alternatives and end-to-end analysis of implants are worthwhile and necessary to develop. The aim of this study is to calculate the equivalent stretching and deformation of cervical cage implants of different thicknesses with the Finite Element Static Analysis models to quantitatively evaluate the tendency of collapse in clinically encountered conditions. In this context, PEEK (polyether ketone) has been chosen as a material because of the incentive results in recent years with the use of integrated screws and cages in a select group of patients. A force of 100 N was applied to the upper surface of the implant in accordance with the standards and the lower surface of the implant model was defined as a fix support. As a result of the analysis made on 3 different models with different thicknesses, the total deformation on the 5.0 mm, 6.0 mm and 7.0 mm systems was 0.073161 mm; 0.032413 mm; 0.025319 mm respectively, and the equivalent stresses was 47.722 MPa; 24.126 MPa and 20.43 MPa respectively. These values were found to be smaller than the yield strength of the material used (165 MPa), and as predicted, the maximum deformation of the model and the decrease in equivalent stress were observed to decrease. In addition, there are places where there is a singular load accumulation on the design, which in turn has confirmed that the use of costly and time-consuming testing processes and finite element analysis to avoid faulty production is appropriate.","PeriodicalId":293165,"journal":{"name":"2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123230073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-04-01DOI: 10.1109/EBBT.2017.7956769
Aybüke Tavasli, B. Taşdelen
In this work, clay minerals such as kaolin particles were embedded within the network of poly(acrylamide) hydrogel (PAAm) using free radical solution polymerization method. Aniline monomer was absorbed in the network of PAAm/Kaolin composite hydrogel and followed using free radical solution polymerization at room temperature. The novel semi-interpenetrating network was comprised of linear polyaniline immersed in PAAm/Kaolin composite. Electrical conductivity of the hydrogels was measured using four-probe technique. The conductivity for the prepared new semi-interpenetrating polymer network (s-IPN) is found to be 1.1 ×10−4 S.cm−1. Thus, a new s-IPN composite hydrogel with good conductive properties was prepared.
{"title":"Semi-interpenetration with conducting polyanilines on poly(acrylamide-co-kaolin) composite","authors":"Aybüke Tavasli, B. Taşdelen","doi":"10.1109/EBBT.2017.7956769","DOIUrl":"https://doi.org/10.1109/EBBT.2017.7956769","url":null,"abstract":"In this work, clay minerals such as kaolin particles were embedded within the network of poly(acrylamide) hydrogel (PAAm) using free radical solution polymerization method. Aniline monomer was absorbed in the network of PAAm/Kaolin composite hydrogel and followed using free radical solution polymerization at room temperature. The novel semi-interpenetrating network was comprised of linear polyaniline immersed in PAAm/Kaolin composite. Electrical conductivity of the hydrogels was measured using four-probe technique. The conductivity for the prepared new semi-interpenetrating polymer network (s-IPN) is found to be 1.1 ×10−4 S.cm−1. Thus, a new s-IPN composite hydrogel with good conductive properties was prepared.","PeriodicalId":293165,"journal":{"name":"2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123312027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-04-01DOI: 10.1109/EBBT.2017.7956767
H. Ozkan, Reyhan Gurleyen, Elif Usta, Raziye Kübra Kumrular
In the modern world, cancer has increasingly become a health problem. It has been listed as the first three disease among the ‘cause-known deaths’ in our country. Malignant Melanoma, one of the skin cancer types, is the cause of 75% of all skin cancer related deaths even though it is 4% of all skin cancer cases. The examination of the diseases are diagnosed through visual inspections by the dermatologists. This brings the possibility of human error. In this study, a computer based segmentation system is developed to assist the expert dermatologists for determining whether the lesions on the skin are cancerous or not. The edges of lesions on the original images is drawn by enhancing and segmenting the lesions via image processing techniques, since lesions' shapes, color distributions and edges are important parameters for cancer determination process. In this way, the error rates are reduced by making it easier for the dermatologist to examine the lesions and make decisions.
{"title":"Automatic skin lesion segmentation","authors":"H. Ozkan, Reyhan Gurleyen, Elif Usta, Raziye Kübra Kumrular","doi":"10.1109/EBBT.2017.7956767","DOIUrl":"https://doi.org/10.1109/EBBT.2017.7956767","url":null,"abstract":"In the modern world, cancer has increasingly become a health problem. It has been listed as the first three disease among the ‘cause-known deaths’ in our country. Malignant Melanoma, one of the skin cancer types, is the cause of 75% of all skin cancer related deaths even though it is 4% of all skin cancer cases. The examination of the diseases are diagnosed through visual inspections by the dermatologists. This brings the possibility of human error. In this study, a computer based segmentation system is developed to assist the expert dermatologists for determining whether the lesions on the skin are cancerous or not. The edges of lesions on the original images is drawn by enhancing and segmenting the lesions via image processing techniques, since lesions' shapes, color distributions and edges are important parameters for cancer determination process. In this way, the error rates are reduced by making it easier for the dermatologist to examine the lesions and make decisions.","PeriodicalId":293165,"journal":{"name":"2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)","volume":"90 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117125456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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