Combining natural and artificial intelligence for robust automatic anatomy segmentation: Application in neck and thorax auto-contouring.

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

Medical physics（2022）

引用 4|浏览26

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摘要

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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关键词

anatomy models,auto-contouring organs,computed tomography,deep learning,hybrid intelligence,image segmentation

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