Deep Learning for Medical Image Analysis / edited by S. Kevin Zhou, Hayit Greenspan, Dinggang Shen

Colaborador(es): Zhou, S. Kevin [editor.] | Greenspan, Hayit [editor.] | Shen, Dinggang [editor.]Tipo de material: TextoTextoSeries Elsevier and MICCAI Society book seriesEditor: San Diego : Elsevier/Academic Press, 2017Descripción: xxiii, 433 páginas : ilustracionesTipo de contenido: texto Tipo de medio: no mediado Tipo de portador: volumenISBN: 9780128104088 Tema(s): DIAGNOSTICO DE IMAGEN -- PROCESAMIENTO DE DATOS | PROCESAMIENTO DE IMAGENClasificación CDD: 616.0754
Contenidos:
Introduction -- Medical Image Detection and recognition -- Medical image segmentation -- Medical image registration -- Computer-aided diagnosis and disease quantification -- Others.
Resumen: "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"-- proporcionado por el editor.
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Tipo de ítem Biblioteca actual Colección número de clasificación Copia número Estado Fecha de vencimiento Código de barras
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Colección Material de Proyecto 616.0754 D311 2017 (Navegar estantería(Abre debajo)) 1 Prestado 01/01/2050 3560900273383

Introduction -- Medical Image Detection and recognition -- Medical image segmentation -- Medical image registration -- Computer-aided diagnosis and disease quantification -- Others.

"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"-- proporcionado por el editor.