EAN: 9783319429984

ADVANCES IN COMPUTER VISION AND PATTERN RECOGNI...

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.

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