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开发基于LMIC医院患者卡片和组织病理图像的多式子宫癌风险评估和预测模型

Kelebet Chane Jemane1, Muktar Bedaso Kuyu2,3, Geletaw Sahle Tegenaw4

  • 1Kelebet Chane Jemane, Faculty of Computing and Informatics, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia. Kelebet.chane@ju.edu.et.

BMC medical informatics and decision making
|September 1, 2025
PubMed
概括

No abstract available in PubMed .

关键词:
宫癌深度学习最低产值国家机器学习多模式模式预测模型风险分析

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