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pro vyhledávání: '"Donghee Han, MD"'
Autor:
Andrew Lin, MBBS, Nipun Manral, MSc, Priscilla McElhinney, BSc, Aditya Killekar, MSc, Hidenari Matsumoto, MD, Jacek Kwiecinski, MD, Konrad Pieszko, MD, Aryabod Razipour, MD, Kajetan Grodecki, MD, Caroline Park, BSc, Yuka Otaki, MD, Mhairi Doris, MD, Alan C Kwan, MD, Donghee Han, MD, Keiichiro Kuronuma, MD, Guadalupe Flores Tomasino, MD, Evangelos Tzolos, MD, Aakash Shanbhag, MSc, Markus Goeller, MD, Mohamed Marwan, MD, Heidi Gransar, MS, Balaji K Tamarappoo, MD, Sebastien Cadet, MSc, Stephan Achenbach, ProfMD, Stephen J Nicholls, ProfMBBS, Dennis T Wong, MBBS, Daniel S Berman, MD, Marc Dweck, ProfMBChB, David E Newby, ProfMD, Michelle C Williams, MBChB, Piotr J Slomka, ProfPhD, Damini Dey, ProfPhD
Publikováno v:
The Lancet: Digital Health, Vol 4, Iss 4, Pp e256-e265 (2022)
Summary: Background: Atherosclerotic plaque quantification from coronary CT angiography (CCTA) enables accurate assessment of coronary artery disease burden and prognosis. We sought to develop and validate a deep learning system for CCTA-derived meas
Externí odkaz:
https://doaj.org/article/b80b516fca714f98a8316551f6287ceb
