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Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets

Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets

          
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About the Book

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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Product Details
  • ISBN-13: 9783319827131
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 326
  • Series Title: Advances in Computer Vision and Pattern Recognition
  • Sub Title: Precision Medicine, High Performance and Large-Scale Datasets
  • Width: 156 mm
  • ISBN-10: 3319827138
  • Publisher Date: 28 Jun 2018
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Spine Width: 21 mm
  • Weight: 663 gr


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