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一个全面的AI模型开发框架,用于一致的格里森分级

Xinmi Huo1, Kok Haur Ong1, Kah Weng Lau2,3

  • 1Computational Digital Pathology Lab, Bioinformatics Institute, A*STAR, Singapore, Singapore.

Communications medicine
|May 9, 2024
PubMed
概括

格里森评分的人工智能 (AI) 是有前途的,但面临着挑战. 这种新的数字病理学工作流提高了不同扫描仪的AI准确性和效率,改善了病理学家的整合.

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