Machine learning in radiation oncolo...
Naqa, Issam El.

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  • Machine learning in radiation oncology = theory and applications /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    正題名/作者: Machine learning in radiation oncology/ edited by Issam El Naqa, Ruijiang Li, Martin J. Murphy.
    其他題名: theory and applications /
    其他作者: Naqa, Issam El.
    出版者: Cham :Springer International Publishing : : 2015.,
    面頁冊數: xiv, 336 p. :ill. (some col.), digital ;24 cm.
    內容註: Introduction: What is Machine Learning -- Computational Learning Theory -- Overview of Supervised Learning Methods -- Overview of Unsupervised Learning Methods -- Performance Evaluation -- Variety of Applications in Radiation Oncology -- Machine Learning for Quality Assurance: Quality Assurance as a Learning Problem -- Detection of Radiotherapy Errors Using Unsupervised Learning -- Prediction of Radiotherapy Errors Using Supervised Learning -- Machine Learning for Computer-Aided Detection: Detection of Cancer Lesions from Imaging -- Classification of Malignant and Benign Tumours -- Machine Learning for Treatment Planning and Delivery -- Image-guided Radiotherapy with Machine Learning: IMRT Optimization Using Machine Learning -- Treatment Assessment Tools -- Machine Learning for Motion Management: Prediction of Respiratory Motion -- Motion-Correction Using Learning Methods -- Machine Learning Application in 4D-CT -- Machine Learning Application in Dynamic Delivery -- Machine Learning for Outcomes Modeling: Bioinformatics of Treatment Response -- Modelling of Norma Tissue Complication Probabilities (NTCP) -- Modelling of Tumour Control Probability (TCP)
    Contained By: Springer eBooks
    標題: Artificial intelligence - Medical applications. -
    電子資源: http://dx.doi.org/10.1007/978-3-319-18305-3
    ISBN: 9783319183053 (electronic bk.)
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W9273576 電子資源 11.線上閱覽_V 電子書 EB R859.7.A78 M149 2015 一般使用(Normal) 在架 0
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