Pub Date : 2009-12-01DOI: 10.1504/IJBET.2011.040453
S. Patil, V. Udupi, C. D. Kane, A. Wasif, J. V. Desai, A. Jadhav
Early detection is the most promising way to enhance a patient's chance for survival of lung cancer. One of the most important tasks in medical image analysis is to detect the absence or presence of disease in an image, without having precise delineations of pathology available for training. A computer algorithm for nodule detection in chest radiographs is presented. The algorithm consists of four main steps: (i) image acquisition (ii) image pre-processing; (iii) nodule candidate detection; (iv) feature extraction. Algorithm is applied on two main types of lung cancer images, like Small-Cell, Non-Small-Cell type and as well as on TB database. Total 75 images are used (25 from each category) during experiment to estimate geometrical and texture features. Active Shape Model (ASM) technique is used for lung field segmentation. Gray Level Co-occurrence Matrix (GLCM) technique is used to estimate texture features.
{"title":"Geometrical and texture features estimation of lung cancer and TB images using chest X-ray database","authors":"S. Patil, V. Udupi, C. D. Kane, A. Wasif, J. V. Desai, A. Jadhav","doi":"10.1504/IJBET.2011.040453","DOIUrl":"https://doi.org/10.1504/IJBET.2011.040453","url":null,"abstract":"Early detection is the most promising way to enhance a patient's chance for survival of lung cancer. One of the most important tasks in medical image analysis is to detect the absence or presence of disease in an image, without having precise delineations of pathology available for training. A computer algorithm for nodule detection in chest radiographs is presented. The algorithm consists of four main steps: (i) image acquisition (ii) image pre-processing; (iii) nodule candidate detection; (iv) feature extraction. Algorithm is applied on two main types of lung cancer images, like Small-Cell, Non-Small-Cell type and as well as on TB database. Total 75 images are used (25 from each category) during experiment to estimate geometrical and texture features. Active Shape Model (ASM) technique is used for lung field segmentation. Gray Level Co-occurrence Matrix (GLCM) technique is used to estimate texture features.","PeriodicalId":384086,"journal":{"name":"2009 International Conference on Biomedical and Pharmaceutical Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128021907","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 : 2009-12-01DOI: 10.1109/ICBPE.2009.5384079
Chuah Zheng Ming, P. Raveendran, Poh Sin Chew
A non-invasive blood glucose monitoring system with six laser diodes is used to obtain a total of 290 NIR spectra from the Oral Glucose Tolerance Test (OGTT) experiment with the participation of a healthy volunteer over 4 days. Each laser diode operates at the discrete wavelengths between 1500nm and 1800nm with the power of 6mW each. A comparative analysis using the Partial Least Squares (PLS) model and the Neural Network (NN) model is studied. The study shows that the NN model performs better than the PLS model due to the presence of nonlinearity in the collected data. The presence of the nonlinearity is tested by using the Durbin-Watson test.
{"title":"A comparison analysis between partial least squares and Neural Network in non-invasive blood glucose concentration monitoring system","authors":"Chuah Zheng Ming, P. Raveendran, Poh Sin Chew","doi":"10.1109/ICBPE.2009.5384079","DOIUrl":"https://doi.org/10.1109/ICBPE.2009.5384079","url":null,"abstract":"A non-invasive blood glucose monitoring system with six laser diodes is used to obtain a total of 290 NIR spectra from the Oral Glucose Tolerance Test (OGTT) experiment with the participation of a healthy volunteer over 4 days. Each laser diode operates at the discrete wavelengths between 1500nm and 1800nm with the power of 6mW each. A comparative analysis using the Partial Least Squares (PLS) model and the Neural Network (NN) model is studied. The study shows that the NN model performs better than the PLS model due to the presence of nonlinearity in the collected data. The presence of the nonlinearity is tested by using the Durbin-Watson test.","PeriodicalId":384086,"journal":{"name":"2009 International Conference on Biomedical and Pharmaceutical Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122238581","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 : 1900-01-01DOI: 10.1109/ICBPE.2009.5384088
Suria Ramli, Benjamin P. Ross, I. Gentle
Physical properties of microemulsions containing tween80 as surfactant and tetraglycol as cosurfactant, were investigated for their potential to form microemulsion templates as drug delivery vehicles for isotretinoin. Bile salt was used as edge activator in skin permeation and surfactant protein B (SP-B1–25) may be helpful in drug delivery and reducing sebum level. All of the compounds used to formulate the microemulsions were pharmaceutically acceptable and biocompatible. The drug-containing systems were characterized in regard to their transdermal parameters. Physiologically well-tolerated and physically stable multiple-component systems were developed. The concentrations of surfactants and cosurfactants which are necessary to form stable systems were evaluated. Microemulsions were characterized using polarized light microscopy, photon correlation spectroscopy (PCS), electric conductivity and rheometry. The influence of isotretinoin on the physical parameters of the preparation was investigated.
{"title":"Formulation and physical characterization of microemulsions containing isotretinoin","authors":"Suria Ramli, Benjamin P. Ross, I. Gentle","doi":"10.1109/ICBPE.2009.5384088","DOIUrl":"https://doi.org/10.1109/ICBPE.2009.5384088","url":null,"abstract":"Physical properties of microemulsions containing tween80 as surfactant and tetraglycol as cosurfactant, were investigated for their potential to form microemulsion templates as drug delivery vehicles for isotretinoin. Bile salt was used as edge activator in skin permeation and surfactant protein B (SP-B1–25) may be helpful in drug delivery and reducing sebum level. All of the compounds used to formulate the microemulsions were pharmaceutically acceptable and biocompatible. The drug-containing systems were characterized in regard to their transdermal parameters. Physiologically well-tolerated and physically stable multiple-component systems were developed. The concentrations of surfactants and cosurfactants which are necessary to form stable systems were evaluated. Microemulsions were characterized using polarized light microscopy, photon correlation spectroscopy (PCS), electric conductivity and rheometry. The influence of isotretinoin on the physical parameters of the preparation was investigated.","PeriodicalId":384086,"journal":{"name":"2009 International Conference on Biomedical and Pharmaceutical Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122524430","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 : 1900-01-01DOI: 10.14220/9783737006552.front
{"title":"Title pages","authors":"","doi":"10.14220/9783737006552.front","DOIUrl":"https://doi.org/10.14220/9783737006552.front","url":null,"abstract":"","PeriodicalId":384086,"journal":{"name":"2009 International Conference on Biomedical and Pharmaceutical Engineering","volume":"460 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125849761","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：