Artículos relacionados a Deep Learning in Medical Image Analysis: Challenges...
Deep Learning in Medical Image Analysis: Challenges and Applications: 1213 (Advances in Experimental Medicine and Biology) - Tapa blanda
Sinopsis
This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Gobert Lee is a lecturer in Statistical Science and the Director of Studies in Mathematics and Statistics at the College of Science and Engineering, and a research member of the Medical Device Research Institute, Flinders University, Adelaide, Australia. Gobert’s research interests include statistical pattern recognition, medical image segmentation, computer-aided-diagnosis systems, breast cancer detection and analysis, multi-organ CT segmentation and human voxel model generation.
Hiroshi Fujita is a Research Professor/Emeritus Professor of Gifu University. He is a member of the Society for Medical Image Information (president), the Research Group on Medical Imaging (adviser), the Japan Society for Medical Image Engineering (director), and some other societies. His research interests include computer-aided diagnosis system, image analysis and processing, and image evaluation in medicine. He has published over 1000 papers in Journals, Proceedings,Book chapters and Scientific Magazines.
De la contraportada
This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialSpringer
- Año de publicación2021
- ISBN 10 303033130X
- ISBN 13 9783030331306
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de edición1
- Número de páginas192
- EditorLee Gobert, Fujita Hiroshi
- Contacto del fabricanteno disponible
Comprar nuevo
Ver este artículo
EUR 180,07
EUR 19,49 gastos de envío desde Alemania a España
Destinos, gastos y plazos de envíoOtras ediciones populares con el mismo título
Resultados de la búsqueda para Deep Learning in Medical Image Analysis: Challenges...
Imagen de archivo
Deep Learning in Medical Image Analysis: Challenges and Applications (Advances in Experimental Medicine and Biology, Band 1213) [Paperback] Lee, Gobert and Fujita, Hiroshi
Publicado por
Springer, 2021
ISBN 10: 303033130X
ISBN 13: 9783030331306
Antiguo o usado
Softcover
Original o primera edición
Librería: SpringBooks, Berlin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Softcover. Condición: Very Good. 1. Auflage. Unread, with a mimimum of shelfwear. Immediately dispatched from Germany. Nº de ref. del artículo: CEA-2408C-ELCH-03-1000XS
Cantidad disponible: 1 disponibles
Imagen del vendedor
Deep Learning in Medical Image Analysis
Publicado por
Springer International Publishing, 2021
ISBN 10: 303033130X
ISBN 13: 9783030331306
Nuevo
Kartoniert / Broschiert
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights issues and challenges of deep learning, specifically in medical imaging problems, surveying and discussing practical approaches in general and in the context of specific problems Describes cutting-edge research and application. Nº de ref. del artículo: 448679262
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Deep Learning in Medical Image Analysis
Publicado por
Springer International Publishing Feb 2021, 2021
ISBN 10: 303033130X
ISBN 13: 9783030331306
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammogramsand glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource. 192 pp. Englisch. Nº de ref. del artículo: 9783030331306
Cantidad disponible: 2 disponibles
Imagen del vendedor
Deep Learning in Medical Image Analysis : Challenges and Applications
Publicado por
Springer International Publishing, 2021
ISBN 10: 303033130X
ISBN 13: 9783030331306
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammogramsand glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource. Nº de ref. del artículo: 9783030331306
Cantidad disponible: 1 disponibles
Imagen de archivo
Deep Learning in Medical Image Analysis: Challenges and Applications (Advances in Experimental Medicine and Biology)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9783030331306_new
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Deep Learning in Medical Image Analysis
Publicado por
Springer International Publishing, Springer Nature Switzerland Feb 2021, 2021
ISBN 10: 303033130X
ISBN 13: 9783030331306
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 192 pp. Englisch. Nº de ref. del artículo: 9783030331306
Cantidad disponible: 2 disponibles
Imagen de archivo
Deep Learning in Medical Image Analysis: Challenges and Applications (Advances in Experimental Medicine and Biology) 1st ed. 2020 Edition
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. Nº de ref. del artículo: 26384624469
Cantidad disponible: 4 disponibles
Imagen de archivo
Deep Learning in Medical Image Analysis: Challenges and Applications (Advances in Experimental Medicine and Biology) 1st ed. 2020 Edition
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Print on Demand. Nº de ref. del artículo: 379279498
Cantidad disponible: 4 disponibles
Imagen de archivo
Deep Learning in Medical Image Analysis: Challenges and Applications
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 192 pages. 10.00x7.00x0.46 inches. In Stock. Nº de ref. del artículo: x-303033130X
Cantidad disponible: 2 disponibles
Imagen de archivo
Deep Learning in Medical Image Analysis: Challenges and Applications (Advances in Experimental Medicine and Biology) 1st ed. 2020 Edition
Impresión bajo demandaLibrería: Biblios, Frankfurt am main, HESSE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18384624479
Cantidad disponible: 4 disponibles