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1 Ergebnisse
1
Automated system for diagnosing endometrial cancer by adopt..:
Yu Takahashi
;
Kenbun Sone
;
Katsuhiko Noda
...
https://doi.org/10.1371/journal.pone.0248526. , 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=base-ftdoajarticles:oai:doaj.org_article:b722390c5c694f02bc7fce6fe0772138&Exemplar=1&LAN=DE A1 Yu Takahashi A1 Kenbun Sone A1 Katsuhiko Noda A1 Kaname Yoshida A1 Yusuke Toyohara A1 Kosuke Kato A1 Futaba Inoue A1 Asako Kukita A1 Ayumi Taguchi A1 Haruka Nishida A1 Yuichiro Miyamoto A1 Michihiro Tanikawa A1 Tetsushi Tsuruga A1 Takayuki Iriyama A1 Kazunori Nagasaka A1 Yoko Matsumoto A1 Yasushi Hirota A1 Osamu Hiraike-Wada A1 Katsutoshi Oda A1 Masanori Maruyama A1 Yutaka Osuga A1 Tomoyuki Fujii PB Public Library of Science (PLoS) YR 2021 K1 Medicine K1 R K1 Science K1 Q JF https://doi.org/10.1371/journal.pone.0248526 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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