Corrigendum to “Radiomic machine learning for pretreatment assessment of prognostic risk factors for endometrial cancer and its effects on radiologists' decisions of deep myometrial invasion” [Magnetic Resonance Imaging 85 (2022) 161–167]., (S0730725X21001910), (10.1016/j.mri.2021.10.024)

Satoshi Otani, Yuki Himoto*, Mizuho Nishio, Koji Fujimoto, Yusaku Moribata, Masahiro Yakami, Yasuhisa Kurata, Junzo Hamanishi, Akihiko Ueda, Sachiko Minamiguchi, Masaki Mandai, Aki Kido

*Corresponding author for this work

Research output: Contribution to journalComment/debate

2 Scopus citations

Fingerprint

Dive into the research topics of 'Corrigendum to “Radiomic machine learning for pretreatment assessment of prognostic risk factors for endometrial cancer and its effects on radiologists' decisions of deep myometrial invasion” [Magnetic Resonance Imaging 85 (2022) 161–167]., (S0730725X21001910), (10.1016/j.mri.2021.10.024)'. Together they form a unique fingerprint.

Keyphrases

Medicine and Dentistry