Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis
暫譯: 醫學影像分析與電腦輔助診斷的分類技術

Dey, Nilanjan

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis
  • 出版商: Academic Press
  • 出版日期: 2019-07-31
  • 售價: $5,420
  • 貴賓價: 9.5 折 $5,149
  • 語言: 英文
  • 頁數: 232
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0128180048
  • ISBN-13: 9780128180044

    • 海外代購書籍(需單獨結帳)

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商品描述

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images.

  • Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges
  • Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications
  • Introduces several techniques for medical image processing and analysis for CAD systems design

商品描述(中文翻譯)

《醫學影像分析與電腦輔助診斷的分類技術》涵蓋了如何將分類技術應用於各種臨床應用的最新進展，這些應用適合於機器學習、深度學習、數據分析、數據管理及電腦輔助診斷（CAD）系統設計領域的研究人員和生物醫學工程師。本書探討了幾個複雜的影像分類問題，使用模式識別方法，包括人工神經網絡（Artificial Neural Networks, ANN）、支持向量機（Support Vector Machines, SVM）、貝葉斯網絡（Bayesian Networks, BN）和深度學習。此外，還討論了許多數據挖掘技術，因為它們已被證明是醫學影像的良好分類器。

- 檢視醫學影像分類的方法論，涵蓋監督式和非監督式模型的分類法、演算法、應用及挑戰
- 討論人工神經網絡、機器學習和深度學習在臨床應用中的最新進展
- 介紹幾種醫學影像處理和分析的技術，以便於CAD系統設計

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