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. 2022 Sep;4(9):e630.
doi: 10.1016/S2589-7500(22)00130-3.

A deep-learning-enabled diagnosis of ovarian cancer

Ben Van Calster  1 , Stefan Timmerman  2 , Axel Geysels  3 , Jan Y Verbakel  4 , Wouter Froyman  5
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A deep-learning-enabled diagnosis of ovarian cancer

Ben Van Calster et al. Lancet Digit Health. 2022 Sep.
Free article
No abstract available

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Conflict of interest statement

We declare no competing interests.

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  • Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study.
    Gao Y, Zeng S, Xu X, Li H, Yao S, Song K, Li X, Chen L, Tang J, Xing H, Yu Z, Zhang Q, Zeng S, Yi C, Xie H, Xiong X, Cai G, Wang Z, Wu Y, Chi J, Jiao X, Qin Y, Mao X, Chen Y, Jin X, Mo Q, Chen P, Huang Y, Shi Y, Wang J, Zhou Y, Ding S, Zhu S, Liu X, Dong X, Cheng L, Zhu L, Cheng H, Cha L, Hao Y, Jin C, Zhang L, Zhou P, Sun M, Xu Q, Chen K, Gao Z, Zhang X, Ma Y, Liu Y, Xiao L, Xu L, Peng L, Hao Z, Yang M, Wang Y, Ou H, Jia Y, Tian L, Zhang W, Jin P, Tian X, Huang L, Wang Z, Liu J, Fang T, Yan D, Cao H, Ma J, Li X, Zheng X, Lou H, Song C, Li R, Wang S, Li W, Zheng X, Chen J, Li G, Chen R, Xu C, Yu R, Wang J, Xu S, Kong B, Xie X, Ma D, Gao Q. Gao Y, et al. Lancet Digit Health. 2022 Mar;4(3):e179-e187. doi: 10.1016/S2589-7500(21)00278-8. Lancet Digit Health. 2022. PMID: 35216752

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