9781032380360 - deep learning in medical image analysis: recent advances and future trends (11 risultati)

Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 10 di 10 - Artificial Intelligence in Smart Healthcare Systems
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Lingua: Inglese
Editore: Candh/CRC Press, 2026
Serie: Libro 10 di 10 - Artificial Intelligence in Smart Healthcare Systems
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Lingua: Inglese
Editore: Candh/CRC Press, 2026
Serie: Libro 10 di 10 - Artificial Intelligence in Smart Healthcare Systems
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 10 di 10 - Artificial Intelligence in Smart Healthcare Systems
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Libro 10 di 10 - Artificial Intelligence in Smart Healthcare Systems
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Deep Learning In Medical Image Analysis: Recent Advances And Future Trends
Kumar, T. Ganesh (Editor)/ Indrakumari, R. (Editor)/ P.C., Sherimon (Editor)/ Murugan, D. (Editor)
Lingua: Inglese
Editore: Taylor & Francis Ltd, 2026
Serie: Libro 10 di 10 - Artificial Intelligence in Smart Healthcare Systems
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 196 pages. 6.14x0.45x9.21 inches. In Stock.

Lingua: Inglese
Editore: CRC Press, 2026
Serie: Libro 10 di 10 - Artificial Intelligence in Smart Healthcare Systems
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Ms. Indrakumari Ranganathan is working as an Assistant Professor, School of Computing Science and Engineering, Galgotias University, NCR Delhi, India. She has completed an M.Tech in Computer and Information Technology from Manonmaniam Sunda.

Lingua: Inglese
Editore: Taylor & Francis Ltd Jul 2026, 2026
Serie: Libro 10 di 10 - Artificial Intelligence in Smart Healthcare Systems
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Neuware - This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. The post-pandemic situation teaches us the importance of doctors, medical analysis, and diagnosis of diseases in… a rapid manner. This book provides a snapshot of the state of current research between deep learning, medical image processing, and health care with special emphasis on saving human life. The chapters cover a range of advanced technologies related to patient health monitoring, predicting diseases from genomic data, detecting artefactual events in vital signs monitoring data, and managing chronic diseases. This book - Delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field - Presents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image data - Provides an overview of the physics of medical image processing alongside discussing image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstruction - Highlights the new potential applications of machine learning techniques to the solution of important problems in biomedical image applications This book is for students, scholars, and professionals of biomedical technology and healthcare data analytics.

Lingua: Inglese
Editore: Taylor & Francis Ltd, 2026
Serie: Libro 10 di 10 - Artificial Intelligence in Smart Healthcare Systems
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Paperback. Condizione: new. Paperback. This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. The post-pandemic situation teaches us the importance of doctors, medical analysis, and diagnosis of diseases in…a rapid manner. This book provides a snapshot of the state of current research between deep learning, medical image processing, and health care with special emphasis on saving human life. The chapters cover a range of advanced technologies related to patient health monitoring, predicting diseases from genomic data, detecting artefactual events in vital signs monitoring data, and managing chronic diseases. This bookDelivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the fieldPresents key principles by implementing algorithms from scratch and using simple MATLAB/Octave scripts with image dataProvides an overview of the physics of medical image processing alongside discussing image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstructionHighlights the new potential applications of machine learning techniques to the solution of important problems in biomedical image applicationsThis book is for students, scholars, and professionals of biomedical technology and healthcare data analytics. The proposed book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. It provides a snapshot of the state of current research between deep learning, medical image processing, and healthcare with emphasis on saving human life. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Lingua: Inglese
Editore: Taylor & Francis Ltd, 2026
Serie: Libro 10 di 10 - Artificial Intelligence in Smart Healthcare Systems
- Brossura
- Print on Demand
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 72,33
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Paperback. Condizione: new. Paperback. This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. The post-pandemic situation teaches us the importance of doctors, medical analysis, and diagnosis of diseases in…a rapid manner. This book provides a snapshot of the state of current research between deep learning, medical image processing, and health care with special emphasis on saving human life. The chapters cover a range of advanced technologies related to patient health monitoring, predicting diseases from genomic data, detecting artefactual events in vital signs monitoring data, and managing chronic diseases. This bookDelivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the fieldPresents key principles by implementing algorithms from scratch and using simple MATLAB/Octave scripts with image dataProvides an overview of the physics of medical image processing alongside discussing image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstructionHighlights the new potential applications of machine learning techniques to the solution of important problems in biomedical image applicationsThis book is for students, scholars, and professionals of biomedical technology and healthcare data analytics. The proposed book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. It provides a snapshot of the state of current research between deep learning, medical image processing, and healthcare with emphasis on saving human life. 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.

Lingua: Inglese
Editore: Taylor & Francis Ltd, 2026
Serie: Libro 10 di 10 - Artificial Intelligence in Smart Healthcare Systems
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 89,11
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Paperback. Condizione: new. Paperback. This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. The post-pandemic situation teaches us the importance of doctors, medical analysis, and diagnosis of diseases in…a rapid manner. This book provides a snapshot of the state of current research between deep learning, medical image processing, and health care with special emphasis on saving human life. The chapters cover a range of advanced technologies related to patient health monitoring, predicting diseases from genomic data, detecting artefactual events in vital signs monitoring data, and managing chronic diseases. This bookDelivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the fieldPresents key principles by implementing algorithms from scratch and using simple MATLAB/Octave scripts with image dataProvides an overview of the physics of medical image processing alongside discussing image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstructionHighlights the new potential applications of machine learning techniques to the solution of important problems in biomedical image applicationsThis book is for students, scholars, and professionals of biomedical technology and healthcare data analytics. The proposed book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. It provides a snapshot of the state of current research between deep learning, medical image processing, and healthcare with emphasis on saving human life. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.