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pro vyhledávání: '"Tarun, Kotia"'
Autor:
Jayaram K, Udupa, Tiange, Liu, Chao, Jin, Liming, Zhao, Dewey, Odhner, Yubing, Tong, Vibhu, Agrawal, Gargi, Pednekar, Sanghita, Nag, Tarun, Kotia, Michael, Goodman, E Paul, Wileyto, Dimitris, Mihailidis, John Nicholas, Lukens, Abigail T, Berman, Joann, Stambaugh, Tristan, Lim, Rupa, Chowdary, Dheeraj, Jalluri, Salma K, Jabbour, Sung, Kim, Meral, Reyhan, Clifford G, Robinson, Wade L, Thorstad, Jehee Isabelle, Choi, Robert, Press, Charles B, Simone, Joe, Camaratta, Steve, Owens, Drew A, Torigian
Publikováno v:
Medical Physics. 49:7118-7149
Automatic segmentation of 3D objects in computed tomography (CT) is challenging. Current methods, based mainly on artificial intelligence (AI) and end-to-end deep learning (DL) networks, are weak in garnering high-level anatomic information, which le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::328645cd309dee5dc63a13c4237d3f08
https://doi.org/10.1002/mp.15854
https://doi.org/10.1002/mp.15854
