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1 Ergebnisse
1
Automated system for diagnosing endometrial cancer by adopt..:
Takahashi, Yu
;
Sone, Kenbun
;
Noda, Katsuhiko
...
PLOS ONE. 16 (2021) 3 - p. e0248526 , 2021
Link:
https://doi.org/10.1371/journal.pone.0248526
RT Journal T1
Automated system for diagnosing endometrial cancer by adopting deep-learning technology in hysteroscopy
UL https://suche.suub.uni-bremen.de/peid=cr-10.1371_journal.pone.0248526&Exemplar=1&LAN=DE A1 Takahashi, Yu A1 Sone, Kenbun A1 Noda, Katsuhiko A1 Yoshida, Kaname A1 Toyohara, Yusuke A1 Kato, Kosuke A1 Inoue, Futaba A1 Kukita, Asako A1 Taguchi, Ayumi A1 Nishida, Haruka A1 Miyamoto, Yuichiro A1 Tanikawa, Michihiro A1 Tsuruga, Tetsushi A1 Iriyama, Takayuki A1 Nagasaka, Kazunori A1 Matsumoto, Yoko A1 Hirota, Yasushi A1 Hiraike-Wada, Osamu A1 Oda, Katsutoshi A1 Maruyama, Masanori A1 Osuga, Yutaka A1 Fujii, Tomoyuki A1 Song, Tao PB Public Library of Science (PLoS) YR 2021 SN 1932-6203 JF PLOS ONE VO 16 IS 3 SP e0248526 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0248526 DO https://doi.org/10.1371/journal.pone.0248526 SF ELIB - SuUB Bremen
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