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Deep Learning and Convolutional Neural Networks for Medical Image Computing
Deep Learning and Convolutional Neural Networks for Medical Image Computing
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Deep Learning and Convolutional Neural Networks for Medical Image Computing

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Deep Learning and Convolutional Neural Networks for Medical Image Computing

Precision Medicine, High Performance and Large-Scale Datasets
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Description

This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.

Author Biography:

Dr. Le Lu is a Staff Scientist in the Radiology and Imaging Sciences Department of the National Institutes of Health Clinical Center, Bethesda, MD, USA. Dr. Yefeng Zheng is a Senior Staff Scientist at Siemens Healthcare Technology Center, Princeton, NJ, USA. Dr. Gustavo Carneiro is an Associate Professor in the School of Computer Science at The University of Adelaide, Australia. Dr. Lin Yang is an Associate Professor in the Department of Biomedical Engineering at the University of Florida, Gainesville, FL, USA.
Release date NZ
May 12th, 2018
Contributors
  • Edited by Gustavo Carneiro
  • Edited by Le Lu
  • Edited by Lin Yang
  • Edited by Yefeng Zheng
Pages
326
Edition
Softcover reprint of the original 1st ed. 2017
Audience
  • Professional & Vocational
Illustrations
100 Illustrations, color; 17 Illustrations, black and white; XIII, 326 p. 117 illus., 100 illus. in color.
Dimensions
156x234x21
ISBN-13
9783319827131
Product ID
28267505

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