Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Joe, Camaratta"'
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
Autor:
Chao Jin, Jayaram K. Udupa, Liming Zhao, Yubing Tong, Dewey Odhner, Gargi Pednekar, Sanghita Nag, Sharon Lewis, Nicholas Poole, Sutirth Mannikeri, Sudarshana Govindasamy, Aarushi Singh, Joe Camaratta, Steve Owens, Drew A. Torigian
Publikováno v:
Proc SPIE Int Soc Opt Eng
Autor:
Chao Jin, Jayaram K. Udupa, Liming Zhao, Yubing Tong, Dewey Odhner, Gargi Pednekar, Sanghita Nag, Sharon Lewis, Nicholas Poole, Sutirth Mannikeri, Sudarshana Govindasamy, Aarushi Singh, Joe Camaratta, Steve Owens, Drew A. Torigian
Publikováno v:
Medical image analysis. 81
Despite advances in deep learning, robust medical image segmentation in the presence of artifacts, pathology, and other imaging shortcomings has remained a challenge. In this paper, we demonstrate that by synergistically marrying the unmatched streng