Machine Learning and Medical Imaging

Guorong Wu (Editor), Dinggang Shen (Editor), Mert Sabuncu (Editor)

  • 出版商: Academic Press
  • 出版日期: 2016-08-09
  • 售價: $4,250
  • 貴賓價: 9.5$4,038
  • 語言: 英文
  • 頁數: 512
  • 裝訂: Hardcover
  • ISBN: 0128040769
  • ISBN-13: 9780128040768
  • 相關分類: Machine Learning
  • 立即出貨 (庫存=1)

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商品描述

Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs.

The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

  • Demonstrates the application of cutting-edge machine learning techniques to medical imaging problems
  • Covers an array of medical imaging applications including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics
  • Features self-contained chapters with a thorough literature review
  • Assesses the development of future machine learning techniques and the further application of existing techniques

商品描述(中文翻譯)

《機器學習與醫學影像》介紹了醫學影像分析中最先進的機器學習方法。首先,它總結了醫學影像中的尖端機器學習算法,包括傳統的概率建模和學習方法,以及近期在深度學習、稀疏表示/編碼和大數據哈希方面的突破。在第二部分中,世界各地的領先研究團隊展示了一系列應用於不同醫學影像模態、臨床領域和器官的機器學習方法。

生物醫學影像模態包括超聲波、磁共振成像(MRI)、電腦斷層掃描(CT)、組織學和顯微鏡影像。目標器官涵蓋肺、肝臟、腦和前列腺,同時還有對基因關聯性的研究。《機器學習與醫學影像》是醫學影像研究人員、工業科學家和工程師、高年級本科生和研究生以及臨床醫生的理想參考書。

本書展示了尖端機器學習技術在醫學影像問題中的應用,涵蓋了一系列醫學影像應用,包括計算機輔助診斷、影像引導放射治療、標誌點檢測、影像基因組學和腦連接組學。每章都具有獨立性,並提供了詳盡的文獻綜述。該書還評估了未來機器學習技術的發展以及現有技術的進一步應用。