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Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features.
Gao, Zijun; Wang, Lu; Soroushmehr, Reza; Wood, Alexander; Gryak, Jonathan; Nallamothu, Brahmajee; Najarian, Kayvan.
Affiliation
  • Gao Z; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA. zijung@umich.edu.
  • Wang L; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA.
  • Soroushmehr R; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA.
  • Wood A; Michigan Institute for Data Science (MIDAS), University of Michigan, Ann Arbor, USA.
  • Gryak J; Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, USA.
  • Nallamothu B; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA.
  • Najarian K; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA.
BMC Med Imaging ; 22(1): 10, 2022 01 19.
Article in En | MEDLINE | ID: mdl-35045816
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Coronary Angiography / Coronary Disease / Coronary Vessels / Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: BMC Med Imaging Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Type: Article Affiliation country: United States
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Coronary Angiography / Coronary Disease / Coronary Vessels / Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: BMC Med Imaging Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Type: Article Affiliation country: United States