Deep Learning for Medical Image Analysis

  • 出版商: Academic Press
  • 出版日期: 2017-01-30
  • 定價: $4,230
  • 售價: 8.0$3,384
  • 語言: 英文
  • 頁數: 458
  • 裝訂: Paperback
  • ISBN: 0128104082
  • ISBN-13: 9780128104088
  • 相關分類: DeepLearning
  • 立即出貨(限量) (庫存=1)



Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas.

Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis.

  • Covers common research problems in medical image analysis and their challenges
  • Describes deep learning methods and the theories behind approaches for medical image analysis
  • Teaches how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc.
  • Includes a Foreword written by Nicholas Ayache




- 涵蓋醫學影像分析中常見的研究問題及其挑戰
- 描述深度學習方法和醫學影像分析方法背後的理論
- 教授如何將算法應用於各種應用領域,包括胸部X光、乳腺CAD、肺部和胸部、顯微鏡和病理學等
- 包含由Nicholas Ayache撰寫的前言