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A SR-NET 3D-TO-2D ARCHITECTURE FOR PARASEPTAL EMPHYSEMA SEGMENTATION.
Bermejo-Peláez, D; Okajima, Y; Washko, G R; Ledesma-Carbayo, M J; San José Estépar, R.
Affiliation
  • Bermejo-Peláez D; Biomedical Image Technologies, Universidad Politécnica de Madrid & CIBER-BBN, Madrid, Spain.
  • Okajima Y; Applied Chest Imaging Laboratory, Brigham and Womens Hospital, Boston, MA, USA.
  • Washko GR; Applied Chest Imaging Laboratory, Brigham and Womens Hospital, Boston, MA, USA.
  • Ledesma-Carbayo MJ; Biomedical Image Technologies, Universidad Politécnica de Madrid & CIBER-BBN, Madrid, Spain.
  • San José Estépar R; Applied Chest Imaging Laboratory, Brigham and Womens Hospital, Boston, MA, USA.
Proc IEEE Int Symp Biomed Imaging ; 2019: 303-306, 2019 Apr.
Article in En | MEDLINE | ID: mdl-32461782
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Proc IEEE Int Symp Biomed Imaging Year: 2019 Document type: Article Affiliation country: España Country of publication: Estados Unidos
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Proc IEEE Int Symp Biomed Imaging Year: 2019 Document type: Article Affiliation country: España Country of publication: Estados Unidos