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Artificial intelligence–based technology for semi-automated..:
Hamabe, Atsushi
;
Ishii, Masayuki
;
Kamoda, Rena
...
PLOS ONE. 17 (2022) 6 - p. e0269931 , 2022
Link:
https://doi.org/10.1371/journal.pone.0269931
RT Journal T1
Artificial intelligence–based technology for semi-automated segmentation of rectal cancer using high-resolution MRI
UL https://suche.suub.uni-bremen.de/peid=cr-10.1371_journal.pone.0269931&Exemplar=1&LAN=DE A1 Hamabe, Atsushi A1 Ishii, Masayuki A1 Kamoda, Rena A1 Sasuga, Saeko A1 Okuya, Koichi A1 Okita, Kenji A1 Akizuki, Emi A1 Sato, Yu A1 Miura, Ryo A1 Onodera, Koichi A1 Hatakenaka, Masamitsu A1 Takemasa, Ichiro A1 Punithakumar, Kumaradevan PB Public Library of Science (PLoS) YR 2022 SN 1932-6203 JF PLOS ONE VO 17 IS 6 SP e0269931 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0269931 DO https://doi.org/10.1371/journal.pone.0269931 SF ELIB - SuUB Bremen
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