9781032380360 - deep learning in medical image analysis: recent advances and future trends (artificial intelligence in smart healthcare systems) (10 resultados)

Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2026
Serie: Libro 10 de 10 - Artificial Intelligence in Smart Healthcare Systems
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Idioma: Inglés
Editorial: Candh/CRC Press, 2026
Serie: Libro 10 de 10 - Artificial Intelligence in Smart Healthcare Systems
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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Editorial: Candh/CRC Press, 2026
Serie: Libro 10 de 10 - Artificial Intelligence in Smart Healthcare Systems
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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Editorial: Chapman and Hall/CRC, 2026
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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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)
Idioma: Inglés
Editorial: Taylor & Francis Ltd, 2026
Serie: Libro 10 de 10 - Artificial Intelligence in Smart Healthcare Systems
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. 196 pages. 6.14x0.45x9.21 inches. In Stock.

Idioma: Inglés
Editorial: CRC Press, 2026
Serie: Libro 10 de 10 - Artificial Intelligence in Smart Healthcare Systems
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Librería: moluna, Greven, Alemaniamoluna
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Condición: 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.

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Editorial: Taylor & Francis Ltd Jul 2026, 2026
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 106,00
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Taschenbuch. Condición: 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.

Idioma: Inglés
Editorial: Taylor & Francis Ltd, 2026
Serie: Libro 10 de 10 - Artificial Intelligence in Smart Healthcare Systems
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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Paperback. Condición: 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.

Idioma: Inglés
Editorial: Taylor & Francis Ltd, 2026
Serie: Libro 10 de 10 - Artificial Intelligence in Smart Healthcare Systems
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 73,13
Envío por EUR 31,95Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: 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.

Idioma: Inglés
Editorial: Taylor & Francis Ltd, 2026
Serie: Libro 10 de 10 - Artificial Intelligence in Smart Healthcare Systems
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 89,06
Envío por EUR 43,24Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: 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.