Analyzing anatomical structures: Leveraging multiple sources of knowledge

被引:0
|
作者
Grimson, E [1 ]
Golland, P [1 ]
机构
[1] MIT, Comp Sci & Artificial Intelligence Lab, Cambridge, MA 02139 USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Analysis of medical images, especially the extraction of anatomical structures, is a critical component of many medical applications: surgical planning and navigation, and population studies of anatomical shapes for tracking disease progression are two primary examples. We summarize recent trends in segmentation and analysis of shapes, highlighting how different sources of information have been factored into current approaches.
引用
下载
收藏
页码:3 / 12
页数:10
相关论文
共 50 条
  • [41] The sources of anatomical literature
    Moodie, RL
    AMERICAN NATURALIST, 1917, 51 : 193 - 208
  • [42] Multiple scales and geometric structures: additional sources of randomness
    Vincenzo Capasso
    Journal of Mathematical Biology, 2009, 59 : 143 - 146
  • [43] Multiple scales and geometric structures: additional sources of randomness
    Capasso, Vincenzo
    JOURNAL OF MATHEMATICAL BIOLOGY, 2009, 59 (01) : 143 - 146
  • [44] Collaboration Between Multiple Experts for Knowledge Adaptation on Multiple Remote Sensing Sources
    Ngo, Ba Hung
    Kim, Ju Hyun
    Park, So Jeong
    Cho, Sung In
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [45] CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets
    Mike Thompson
    Zeyuan Johnson Chen
    Elior Rahmani
    Eran Halperin
    Genome Biology, 20
  • [46] HIV persists throughout deep tissues with repopulation from multiple anatomical sources
    Chaillon, Antoine
    Gianella, Sara
    Dellicour, Simon
    Rawlings, Stephen A.
    Schlub, Timothy E.
    De Oliveira, Michelli Faria
    Ignacio, Caroline
    Porrachia, Magali
    Vrancken, Bram
    Smith, Davey M.
    JOURNAL OF CLINICAL INVESTIGATION, 2020, 130 (04): : 1699 - 1712
  • [47] CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets
    Thompson, Mike
    Chen, Zeyuan Johnson
    Rahmani, Elior
    Halperin, Eran
    GENOME BIOLOGY, 2019, 20 (1)
  • [48] LEVERAGING OPEN SOURCE E-LEARNING SYSTEMS WITH WEB 2.0 AND KNOWLEDGE STRUCTURES
    Olteanu, Adriana
    Ionita, Anca Daniela
    Ionescu, Traian
    UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE, 2011, 73 (02): : 3 - 16
  • [49] Analyzing student and employer satisfaction with cooperative education through multiple data sources
    Jiang, Yuheng Helen
    Lee, Sally Wai Yin
    Golab, Lukasz
    ASIA-PACIFIC JOURNAL OF COOPERATIVE EDUCATION, 2015, 16 (04): : 225 - 240
  • [50] Open-and-closed process innovation generation and adoption: Analyzing the effects of sources of knowledge
    Dost, Mir
    Badir, Yuosre F.
    Sambasivan, Murali
    Umrani, Waheed Ali
    TECHNOLOGY IN SOCIETY, 2020, 62