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Development of a deep learning method for improving diagnos..:
Toyohara, Yusuke
;
Sone, Kenbun
;
Noda, Katsuhiko
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669038/. , 2022
Link:
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669038/
RT Journal T1
Development of a deep learning method for improving diagnostic accuracy for uterine sarcoma cases
UL https://suche.suub.uni-bremen.de/peid=base-ftpubmed:oai:pubmedcentral.nih.gov:9669038&Exemplar=1&LAN=DE A1 Toyohara, Yusuke A1 Sone, Kenbun A1 Noda, Katsuhiko A1 Yoshida, Kaname A1 Kurokawa, Ryo A1 Tanishima, Tomoya A1 Kato, Shimpei A1 Inui, Shohei A1 Nakai, Yudai A1 Ishida, Masanori A1 Gonoi, Wataru A1 Tanimoto, Saki A1 Takahashi, Yu A1 Inoue, Futaba A1 Kukita, Asako A1 Kawata, Yoshiko A1 Taguchi, Ayumi A1 Furusawa, Akiko A1 Miyamoto, Yuichiro A1 Tsukazaki, Takehiro A1 Tanikawa, Michihiro A1 Iriyama, Takayuki A1 Mori-Uchino, Mayuyo A1 Tsuruga, Tetsushi A1 Oda, Katsutoshi A1 Yasugi, Toshiharu A1 Takechi, Kimihiro A1 Abe, Osamu A1 Osuga, Yutaka PB Nature Publishing Group UK YR 2022 K1 Article JF http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669038/ LK http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669038/ DO http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669038/ SF ELIB - SuUB Bremen
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