Medical image computing and computer...
Clark Conference ((2005 :)

 

  • Medical image computing and computer-assisted intervention - MICCAI 2016[electronic resource] :19th International Conference, Athens, Greece, October 17-21, 2016 : proceedings.Part III /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    杜威分類號: 616.0757
    書名/作者: Medical image computing and computer-assisted intervention - MICCAI 2016 : 19th International Conference, Athens, Greece, October 17-21, 2016 : proceedings./ edited by Sebastien Ourselin ... [et al.].
    其他題名: MICCAI 2016
    其他作者: Ourselin, Sebastien.
    團體作者: Clark Conference
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: xxiv, 641 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Diagnostic imaging - Handbooks, manuals, etc. - Data processing
    標題: Computer-assisted surgery - Congresses.
    標題: Computer Science.
    標題: Image Processing and Computer Vision.
    標題: Pattern Recognition.
    標題: Computer Graphics.
    標題: Artificial Intelligence (incl. Robotics)
    標題: Imaging / Radiology.
    標題: Health Informatics.
    ISBN: 9783319467269
    ISBN: 9783319467252
    內容註: Registration and deformation estimation -- Shape modeling -- Cardiac and vascular image analysis -- Image reconstruction -- MR image analysis.
    摘要、提要註: The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis, brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR image analysis.
    電子資源: http://dx.doi.org/10.1007/978-3-319-46726-9
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