Automatic thoracic body region localization
Author:
Affiliation:
1. Shandong Univ. of Science and Technology (China)
2. Univ. of Pennsylvania (United States)
3. Univ. of Pennsylvania (United States)
Publisher
SPIE
Reference10 articles.
1. Body-wide hierarchical fuzzy modeling, recognition, and delineation of anatomy in medical images
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5. Decision forests with long-range spatial context for organ localization in CT volumes;Criminisi,2009
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1. BRR‐Net: A tandem architectural CNN–RNN for automatic body region localization in CT images;Medical Physics;2020-08-20
2. Body region localization in whole-body low-dose CT images of PET/CT scans using virtual landmarks;Medical Physics;2019-01-24
3. Automatic anatomy recognition using neural network learning of object relationships via virtual landmarks;Medical Imaging 2018: Image Processing;2018-03-02
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