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

doi:10.1016/j.mri.2021.12.009

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

^*この論文の責任著者

放射線診断・治療学講座

研究成果: ジャーナルへの寄稿 › コメント/討論

2 被引用数 (Scopus)

抄録

The authors regret Table 3. The authors would like to remove “(%)” from the original issue. The table below is the correct one. The authors would like to apologise for any inconvenience caused.

本文言語	英語
ページ（範囲）	119-120
ページ数	2
ジャーナル	Magnetic Resonance Imaging
巻	95
DOI	https://doi.org/10.1016/j.mri.2021.12.009
出版ステータス	出版済み - 2023/01

ASJC Scopus 主題領域

生物理学
生体医工学
放射線学、核医学およびイメージング

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

文献へのアクセス

10.1016/j.mri.2021.12.009

フィンガープリント

「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)」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル

Otani, S., Himoto, Y., Nishio, M., Fujimoto, K., Moribata, Y., Yakami, M., Kurata, Y., Hamanishi, J., Ueda, A., Minamiguchi, S., Mandai, M., & Kido, A. (2023). 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). Magnetic Resonance Imaging, 95, 119-120. https://doi.org/10.1016/j.mri.2021.12.009

Otani, Satoshi ; Himoto, Yuki ; Nishio, Mizuho その他. / 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). In: Magnetic Resonance Imaging. 2023 ; Vol. 95. pp. 119-120.

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title = "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)",

abstract = "The authors regret Table 3. The authors would like to remove “(%)” from the original issue. The table below is the correct one. The authors would like to apologise for any inconvenience caused.",

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

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doi = "10.1016/j.mri.2021.12.009",

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Otani, S, Himoto, Y, Nishio, M, Fujimoto, K, Moribata, Y, Yakami, M, Kurata, Y, Hamanishi, J, Ueda, A, Minamiguchi, S, Mandai, M & Kido, A 2023, '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)', Magnetic Resonance Imaging, vol. 95, pp. 119-120. https://doi.org/10.1016/j.mri.2021.12.009

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). / Otani, Satoshi; Himoto, Yuki; Nishio, Mizuho その他.
In: Magnetic Resonance Imaging, Vol. 95, 01.2023, p. 119-120.

研究成果: ジャーナルへの寄稿 › コメント/討論

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AU - Otani, Satoshi

AU - Himoto, Yuki

AU - Nishio, Mizuho

AU - Fujimoto, Koji

AU - Moribata, Yusaku

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AU - Hamanishi, Junzo

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Otani S, Himoto Y, Nishio M, Fujimoto K, Moribata Y, Yakami M その他. 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). Magnetic Resonance Imaging. 2023 1月;95:119-120. doi: 10.1016/j.mri.2021.12.009