"The efficacy of deep learning models in the diagnosis of endometrial ..."

Aiko Urushibara et al. (2022)

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DOI: 10.1186/S12880-022-00808-3

access: open

type: Journal Article

metadata version: 2022-08-16

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  - https://dblp.org/rec/journals/bmcmi/UrushibaraSMIIM22
Aiko Urushibara, Tsukasa Saida, Kensaku Mori, Toshitaka Ishiguro, Kei Inoue, Tomohiko Masumoto, Toyomi Satoh, Takahito Nakajima:
The efficacy of deep learning models in the diagnosis of endometrial cancer using MRI: a comparison with radiologists. BMC Medical Imaging 22(1): 80 (2022)

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