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Biographie et livres de S. Kevin Zhou

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S. Kevin Zhou, PhD is dedicated to research on medical image computing, especially analysis and reconstruction, and its applications in real practices. Currently, he is a Distinguished Professor and Founding Executive Dean of School of Biomedical Engineering, University of Science and Technology of China (USTC) and directs the Center for Medical Imaging, Robotics, Analytic Computing and Learning (MIRACLE). Dr. Zhou was a Principal Expert and a Senior R&D Director at Siemens Healthcare Research. He has been elected as a fellow of AIMBE, IAMBE, IEEE, MICCAI and NAI and serves the MICCAI society as a board member and treasurer..
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Téléchargez le livre :  Deep Learning for Medical Image Analysis
Deep Learning for Medical Image Analysis

Hayit Greenspan , Dinggang Shen , S. Kevin Zhou


Academic Press

2023-11-23

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Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and...

119,21

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Télécharger le livre :  Deep Network Design for Medical Image Computing
Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and...

Editeur : Academic Press
Parution : 2022-08-24
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101,23

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Télécharger le livre :  Handbook of Medical Image Computing and Computer Assisted Intervention
Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches...

Editeur : Academic Press
Parution : 2019-10-18
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211,00

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Télécharger le livre :  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...

Editeur : Academic Press
Parution : 2017-01-18
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94,90

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Télécharger le livre :  Medical Image Recognition, Segmentation and Parsing
This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for...

Editeur : Academic Press
Parution : 2015-12-11
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109,72

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