Deep learning for medical image analysis

"Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate dee...

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Detalles Bibliográficos
Otros Autores: Zhou, S. Kevin, editor (editor), Greenspan, Hayit, editor, Shen, Dinggang, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: London, United Kingdom : Academic Press is an imprint of Elsevier [2017]
Colección:EBSCO Academic eBook Collection.
The Elsevier and MICCAI Society book.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b4607451x*spi
Descripción
Sumario:"Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis"--
Descripción Física:1 recurso electrónico
Formato:Forma de acceso: World Wide Web.
Bibliografía:Incluye referencias bibliográficas e índice.
ISBN:9780128104095