Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets (Advances in Computer Vision and Pattern Recognition)

By: Le Lu and Yefeng Zheng and Gustavo Carneiro and Lin Yang

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Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9783319429991
Related ISBNs:: 9783319429984
Publisher:: Springer International Publishing
Date of Addition:: 09/29/18
Copyrighted By:: Springer International Publishing, Cham
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Art and Architecture, Computers and Internet, Mathematics and Statistics, Medicine
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.