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Diagnosis results obtained using combination of 72 trained ..:

Yu Takahashi (381135) ; Kenbun Sone (162596) ; Katsuhiko Noda (10509857)...
https://figshare.com/articles/dataset/Diagnosis_results_obtained_using_combination_of_72_trained_deep_neural_network_models_/14352377. , 2021

Link: https://doi.org/10.1371/journal.pone.0248526.t002

RT Journal
T1 <Title>Diagnosis results obtained using combination of 72 trained deep neural network models</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_14352377&Exemplar=1&LAN=DE
				
A1 Yu Takahashi (381135)
A1 Kenbun Sone (162596)
A1 Katsuhiko Noda (10509857)
A1 Kaname Yoshida (1801507)
A1 Yusuke Toyohara (10509860)
A1 Kosuke Kato (6507053)
A1 Futaba Inoue (10509863)
A1 Asako Kukita (6704792)
A1 Ayumi Taguchi (456506)
A1 Haruka Nishida (528193)
A1 Yuichiro Miyamoto (162601)
A1 Michihiro Tanikawa (162611)
A1 Tetsushi Tsuruga (6704804)
A1 Takayuki Iriyama (3824188)
A1 Kazunori Nagasaka (276622)
A1 Yoko Matsumoto (162619)
A1 Yasushi Hirota (120700)
A1 Osamu Hiraike-Wada (10509866)
A1 Katsutoshi Oda (162567)
A1 Masanori Maruyama (10509869)
A1 Yutaka Osuga (456513)
A1 Tomoyuki Fujii (276627)
YR 2021
K1 Biotechnology
K1 Science Policy
K1 Biological Sciences not elsewhere classified
K1 Mathematical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 method
K1 accuracy
K1 endometrial cancer
K1 hysteroscopy Endometrial cancer
K1 diagnosis
JF https://figshare.com/articles/dataset/Diagnosis_results_obtained_using_combination_of_72_trained_deep_neural_network_models_/14352377
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0248526.t002
DO https://doi.org/10.1371/journal.pone.0248526.t002
SF ELIB - SuUB Bremen

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