Jeyakumar vijay (17 resultados)

Paperback. Condición: Brand New. 176 pages. 8.66x5.91x0.40 inches. In Stock.

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image retrieval plays a major role in an integrated healthcare environment for various clinical diagnoses.In some cases, these retrieved images are used for medical education, clinical based evidence diagnosis, Tele - health education, clinical surgeries based on previous examinations and many more.The technical advancement in digital technology has simplified the acquisition, transmission and storage of medical images.The major task given to the user is retrieval of stored information s quickly and correctly.Hence any retrieval system should have the capability to facilitate user friendly environment providing only relevant data. Particularly in an integrated healthcare environment major attention must be given to the resultant documents which should not give false data to the physicians for diagnosis. This leads to great impact on patient s survival.Two kinds of approach are adopted in this retrieval system. They are text based and content based retrieval approach. The advantage of text based and content based approaches are combined together results to hybrid approach. 176 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image retrieval plays a major role in an integrated healthcare environment for various clinical diagnoses.In some cases, these retrieved images are used for medical education, clinical based evidence diagnosis, Tele - health education, clinical surgeries based on previous examinations and many more.The technical advancement in digital technology has simplified the acquisition, transmission and storage of medical images.The major task given to the user is retrieval of stored information s quickly and correctly.Hence any retrieval system should have the capability to facilitate user friendly environment providing only relevant data. Particularly in an integrated healthcare environment major attention must be given to the resultant documents which should not give false data to the physicians for diagnosis. This leads to great impact on patient s survival.Two kinds of approach are adopted in this retrieval system. They are text based and content based retrieval approach. The advantage of text based and content based approaches are combined together results to hybrid approach.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jeyakumar VijayVijay Jeyakumar has obtained his Ph.D degree from Anna University,Chennai in 2015. His areas of Interests are Biological Signal and Image Processing, Image Mining and Medical Informatics. Contribution of many papers in.…

Hardcover. Condición: new. Hardcover. This book combines machine learning (ML) and biomedical engineering to address practical issues in healthcare and biomedical research concentrating on real-world applications including bioinformatics, customised medicine, medical imaging analysis, disease detection, and health monitoring. It contains case studies and examples that show how various ML algorithms are used on biomedical data sets. The ethical issues and difficulties unique to using ML in biomedical settings, such as data privacy, algorithm bias, and regulatory compliance are also covered.Provides a broad introduction to ML in biomedicine and biomedical engineeringDiscusses ethical considerations and explainability pertinent to ML in bioengineeringExplores step-by-step tutorials, coding examples, and real-world case studiesReviews feature selection, training and evaluating models, preprocessing data, and validation techniques tailored to biomedical dataIncludes MATLAB and Python coding programsThis book is aimed at graduate students and researchers in bioengineering and ML This book combines machine learning and biomedical engineering to address practical issues in healthcare and biomedical research concentrating on real-world applications including bioinformatics, customized medicine, medical imaging analysis, disease detection, and health monitoring. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image retrieval plays a major role in an integrated healthcare environment for various clinical diagnoses.In some cases, these retrieved images are used for medical education, clinical based evidence diagnosis, Tele - health education, clinical surgeries based on previous examinations and many more.The technical advancement in digital technology has simplified the acquisition, transmission and storage of medical images.The major task given to the user is retrieval of stored information¿s quickly and correctly.Hence any retrieval system should have the capability to facilitate user friendly environment providing only relevant data. Particularly in an integrated healthcare environment major attention must be given to the resultant documents which should not give false data to the physicians for diagnosis. This leads to great impact on patient¿s survival.Two kinds of approach are adopted in this retrieval system. They are text based and content based retrieval approach. The advantage of text based and content based approaches are combined together results to hybrid approach.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch.…

Hardcover. Condición: new. Hardcover. This book combines machine learning (ML) and biomedical engineering to address practical issues in healthcare and biomedical research concentrating on real-world applications including bioinformatics, customised medicine, medical imaging analysis, disease detection, and health monitoring. It contains case studies and examples that show how various ML algorithms are used on biomedical data sets. The ethical issues and difficulties unique to using ML in biomedical settings, such as data privacy, algorithm bias, and regulatory compliance are also covered.Provides a broad introduction to ML in biomedicine and biomedical engineeringDiscusses ethical considerations and explainability pertinent to ML in bioengineeringExplores step-by-step tutorials, coding examples, and real-world case studiesReviews feature selection, training and evaluating models, preprocessing data, and validation techniques tailored to biomedical dataIncludes MATLAB and Python coding programsThis book is aimed at graduate students and researchers in bioengineering and ML This book combines machine learning and biomedical engineering to address practical issues in healthcare and biomedical research concentrating on real-world applications including bioinformatics, customized medicine, medical imaging analysis, disease detection, and health monitoring. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condición: new. Hardcover. This book combines machine learning (ML) and biomedical engineering to address practical issues in healthcare and biomedical research concentrating on real-world applications including bioinformatics, customised medicine, medical imaging analysis, disease detection, and health monitoring. It contains case studies and examples that show how various ML algorithms are used on biomedical data sets. The ethical issues and difficulties unique to using ML in biomedical settings, such as data privacy, algorithm bias, and regulatory compliance are also covered.Provides a broad introduction to ML in biomedicine and biomedical engineeringDiscusses ethical considerations and explainability pertinent to ML in bioengineeringExplores step-by-step tutorials, coding examples, and real-world case studiesReviews feature selection, training and evaluating models, preprocessing data, and validation techniques tailored to biomedical dataIncludes MATLAB and Python coding programsThis book is aimed at graduate students and researchers in bioengineering and ML This book combines machine learning and biomedical engineering to address practical issues in healthcare and biomedical research concentrating on real-world applications including bioinformatics, customized medicine, medical imaging analysis, disease detection, and health monitoring. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Vijay Jeyakumar is an Associate Professor in the Department of Biomedical Engineering at SSN College of Engineering, Chennai, with more than 18 years of academic and research experience. He completed his Ph.D. in Medical Informatics (2015) and M.E. …

Buch. Condición: Neu. Machine Learning for Biomedical Engineers | Vijay Jeyakumar (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | CRC Press | EAN 9781041067948 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book combines machine learning (ML) and biomedical engineering to address practical issues in healthcare and biomedical research concentrating on real-world applications including bioinformatics, customised medicine, medical imaging analysis, disease detection, and health monitoring. It contains case studies and examples that show how various ML algorithms are used on biomedical data sets. The ethical issues and difficulties unique to using ML in biomedical settings, such as data privacy, algorithm bias, and regulatory compliance are also covered. - Provides a broad introduction to ML in biomedicine and biomedical engineering - Discusses ethical considerations and explainability pertinent to ML in bioengineering - Explores step-by-step tutorials, coding examples, and real-world case studies - Reviews feature selection, training and evaluating models, preprocessing data, and validation techniques tailored to biomedical data - Includes MATLAB and Python coding programs This book is aimed at graduate students and researchers in bioengineering and ML.…