Coronary artery segmentation under class imbalance using a U-Net based architecture on computed tomography angiography images.

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Bibliographic Details
Title: Coronary artery segmentation under class imbalance using a U-Net based architecture on computed tomography angiography images.
Authors: Pan LS; Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan., Li CW; Department of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei, 10607, Taiwan., Su SF; Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan., Tay SY; Department of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei, 10607, Taiwan.; Department of RadiologySchool of MedicineCollege of Medicine, Taipei Medical University, Taipei, 10607, Taiwan., Tran QV; Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan., Chan WP; Department of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei, 10607, Taiwan. wingchan@tmu.edu.tw.; Department of RadiologySchool of MedicineCollege of Medicine, Taipei Medical University, Taipei, 10607, Taiwan. wingchan@tmu.edu.tw.; Medical Innovation Development Center, Wan Fang Hospital, Taipei Medical University, Taipei, 10607, Taiwan. wingchan@tmu.edu.tw.
Source: Scientific reports [Sci Rep] 2021 Jul 14; Vol. 11 (1), pp. 14493. Date of Electronic Publication: 2021 Jul 14.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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