An interpretable artificial intelligence approach to differentiate between blastocysts with similar or same morphological grades

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Publication Details

Journal
Human Reproduction
Published
2025-04-21
DOI
https://doi.org/10.1093/humrep/deaf066
Citations
6
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
14.89
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article

An interpretable artificial intelligence approach to differentiate between blastocysts with similar or same morphological grades

Yifan Gu, Haocong Song, Shuoping Zhang, L.M. Chen et al.
6 citations
Human Reproduction
AI in cancer detection
14.89
article

An interpretable artificial intelligence approach to differentiate between blastocysts with similar or same morphological grades

Yifan Gu, Haocong Song, Shuoping Zhang, L.M. Chen, Changsheng Dai, Fei Gong, X. X. Xu, Guanqiao Shan, Yu Sun, Ge Lin, Qiuyun Yan, Lei Chen, Hang Liu, Shanshan Wang, Zhuoran Zhang, Haixiang Sun, Hongqing Liao, Wen‐Yuan Chen, Chen Sun, Changfu Lu, Shuqian Dong
article en
6 citations

Abstract

No abstract available for this paper.
Human ReproductionVol. 40(6)
Central South University (CN), Dalian University of Foreign Languages (CN), University of Toronto (CA), Dalian University of Technology (CN), Toronto Rehabilitation Institute (CA), Dalian University (CN), Reproductive & Genetic Hospital CITIC-Xiangya (CN), Nanjing Drum Tower Hospital (CN), Chinese University of Hong Kong, Shenzhen (CN), National Engineering Research Center of Human Stem Cells (CN), Hengyang Academy of Agricultural Sciences (CN), University of South China (CN)
Openalex Percentile: Top 1%
AI in cancer detection
14.89
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An interpretable artificial intelligence approach to differentiate between blastocysts with similar or same morphological grades — Yifan Gu, Haocong Song, et al. · Human Reproduction (2025) | TGRS Research Map | TGRS