Introduction: The endeavour to improve medical image segmentation techniques for higher analysis in surgical planning and medical therapeutics is far from becoming a standard of care in clinical practice. Hyalite Sol-Gel Amoeba model based on biophysical sciences apart from performing image segmentation is designed to extract real-world tissue densities for patient-specific and patient-appropriate analysis. Objectives: Amoeba Proteus is a unicellular independent entity, with a nucleus and sol-gel protoplasm enclosed in a membrane. The study presents versatile restructuring anatomy and physiology of the Amoeba Proteus for segmentation of 2D, and 3D medical images based on well-established principles of energy minimization and active contour. It demonstrates how the animalcule glides and advances by throwing pseudopodia driven by phenomenal actin-myosin activity that can segment a region-of-interest, and finally, at the time of apoptosis, its protoplasm and organelles acquire distribution of original image intensities to characterize tissue densities. Methods: This seminal study following a brief review of computer vision science discusses the relationship between optical density and tissue density, and the theory of sol-gel fluid mechanics. The framework of the HSG-Amoeba is described with the segmentation of various skeletal components of the thoracic cage. Results: This being a foundational study to describe the concept of the HSG-Amoeba model it requires the development of a mathematical algorithm to demonstrate its worthiness as a tool for surgical applications. Conclusion: The focus of the study is to present the design and framework of the newly conceived HSG-Amoeba model to segment a medical image and extract tissue densities without altering the original image intensities.
{"title":"Hyalite Sol-Gel Amoeba: A Physiology-Based Biophysical Model for Segmentation and Biotransformation of Medical Images To 3D Solid-State Characterizing Native Tissue Properties for Patient-Specific and Patient-Appropriate Analysis for Surgical Applications","authors":"H. S. Gandhi","doi":"10.24297/ijct.v22i.9228","DOIUrl":"https://doi.org/10.24297/ijct.v22i.9228","url":null,"abstract":"Introduction: The endeavour to improve medical image segmentation techniques for higher analysis in surgical planning and medical therapeutics is far from becoming a standard of care in clinical practice. Hyalite Sol-Gel Amoeba model based on biophysical sciences apart from performing image segmentation is designed to extract real-world tissue densities for patient-specific and patient-appropriate analysis.\u0000Objectives: Amoeba Proteus is a unicellular independent entity, with a nucleus and sol-gel protoplasm enclosed in a membrane. The study presents versatile restructuring anatomy and physiology of the Amoeba Proteus for segmentation of 2D, and 3D medical images based on well-established principles of energy minimization and active contour. It demonstrates how the animalcule glides and advances by throwing pseudopodia driven by phenomenal actin-myosin activity that can segment a region-of-interest, and finally, at the time of apoptosis, its protoplasm and organelles acquire distribution of original image intensities to characterize tissue densities.\u0000Methods: This seminal study following a brief review of computer vision science discusses the relationship between optical density and tissue density, and the theory of sol-gel fluid mechanics. The framework of the HSG-Amoeba is described with the segmentation of various skeletal components of the thoracic cage.\u0000Results: This being a foundational study to describe the concept of the HSG-Amoeba model it requires the development of a mathematical algorithm to demonstrate its worthiness as a tool for surgical applications.\u0000Conclusion: The focus of the study is to present the design and framework of the newly conceived HSG-Amoeba model to segment a medical image and extract tissue densities without altering the original image intensities.","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116736656","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 : 2013-10-25DOI: 10.24297/IJCT.V11I1.1190
Heng Ping, L. N. Abdullah, Alfian Abdul Halin, P. S. Sulaiman
The use of physiological signals is relatively recent development in human emotion recognition. Interest in this field has been motivated by the unbiased nature of such signals, which are generated autonomously from the central nervous system. Generally, these signals can be collected from the cardiovascular system, respiratory system, electrodermal activities, muscular system and brain activities. This paper presents an overview of emotion recognition using physiological signals. The main components of a physiological signals-based emotion recognirion system are explained, including discussion regarding the concepts and problems about the various stages involved in its framework.
{"title":"A Study of Physiological Signals-based Emotion Recognition Systems","authors":"Heng Ping, L. N. Abdullah, Alfian Abdul Halin, P. S. Sulaiman","doi":"10.24297/IJCT.V11I1.1190","DOIUrl":"https://doi.org/10.24297/IJCT.V11I1.1190","url":null,"abstract":"The use of physiological signals is relatively recent development in human emotion recognition. Interest in this field has been motivated by the unbiased nature of such signals, which are generated autonomously from the central nervous system. Generally, these signals can be collected from the cardiovascular system, respiratory system, electrodermal activities, muscular system and brain activities. This paper presents an overview of emotion recognition using physiological signals. The main components of a physiological signals-based emotion recognirion system are explained, including discussion regarding the concepts and problems about the various stages involved in its framework.","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125034049","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 : 2012-10-30DOI: 10.24297/IJCT.V3I2B.6773
Manish Snehi, Jyoti Snehi, R. Dhir
In todays digital age as companies are moving more and more amounts of important, sensitive data, information, applications, and infrastructure online there is a need toestablish and maintain credentials on all the connected and disconnected systems, and grant rights or access to users. The main goal is to manage physical and logical resources and relate them to owners. Identity Management is emerging as a significant technology to help in handling the complexity of todays Business companies, dealing with security in thevirtualized environment, strong authentication and dealing with threats from Insiders. This paper attempts to provide direction toward some of the issues, Challenges and Trends in Identity Management. Emerging Trends in Information technology involves identity audit, automated compliance, Role lifecycle management, authorization, Information centric identity, E-SSO and strong authentication, Open ID, Infocards, CardSpace, Governance, Identity management as a service, Risk management, and Compliance Modularity.
{"title":"Issues and Emerging Trends in Identity Management","authors":"Manish Snehi, Jyoti Snehi, R. Dhir","doi":"10.24297/IJCT.V3I2B.6773","DOIUrl":"https://doi.org/10.24297/IJCT.V3I2B.6773","url":null,"abstract":"In todays digital age as companies are moving more and more amounts of important, sensitive data, information, applications, and infrastructure online there is a need toestablish and maintain credentials on all the connected and disconnected systems, and grant rights or access to users. The main goal is to manage physical and logical resources and relate them to owners. Identity Management is emerging as a significant technology to help in handling the complexity of todays Business companies, dealing with security in thevirtualized environment, strong authentication and dealing with threats from Insiders. This paper attempts to provide direction toward some of the issues, Challenges and Trends in Identity Management. Emerging Trends in Information technology involves identity audit, automated compliance, Role lifecycle management, authorization, Information centric identity, E-SSO and strong authentication, Open ID, Infocards, CardSpace, Governance, Identity management as a service, Risk management, and Compliance Modularity.","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128634522","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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