Combining natural and artificial intelligence for robust automatic anatomy segmentation: Application in neck and thorax auto‐contouring
Medical Physics2022Vol. 49(11), pp. 7118–7149
Citations Over TimeTop 13% of 2022 papers
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, D Mihailidis, John N. 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 H. Press, Charles B. Simone, Joe Camaratta, Steve Owens, Drew A. Torigian
Abstract
The HI system is observed to behave like an expert human in robustness in the contouring task but vastly more efficiently. It seems to use NI help where image information alone will not suffice to decide, first for the correct localization of the object and then for the precise delineation of the boundary.
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