Deep Learning Models for Medical Imaging

  • Author : K.C. Santosh
  • Publsiher : Academic Press
  • Release : 15 January 2021
  • ISBN : 0128235047
  • Page : 180 pages
  • Rating : 4/5 from 21 voters

Download or read online book entitled Deep Learning Models for Medical Imaging written by K.C. Santosh and published by Academic Press. This book was released on 15 January 2021 with total page 180 pages. Available in PDF, EPUB and Kindle. Get best books that you want by click Get Book Button and Read as many books as you like. Book Excerpt : Deep Learning Models for Medical Imaging is suitable for computer science, medical imaging and biomedical engineering researchers and students who need up-to-date deep learning tools to apply to medical image analysis problems. The book presents deep learning concepts and modeling as applied to medical imaging and/or healthcare, using two different real-world case studies, providing complete implementation (via GitHub) of both standard (e.g. LeNet, Alexnet, VGGNet, ResNet and InceptionNet) and recent models (Mobile net and squeeze-and excitation net). Provides a step-by-step approach to develop deep learning models Presents case studies showing end-to-end implementation Includes codes provided in GitHub

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