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Updated: Jul 2, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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一个基于不确定性的可解释的深度学习框架,用于预测乳腺癌的结果

Hua Chai1, Siyin Lin2, Junqi Lin1

  • 1School of Mathematics and Big Data, Foshan University, Foshan, 528000, China.

BMC bioinformatics
|February 28, 2024
PubMed
概括

这项研究介绍了UISNet,这是一种用于准确预测乳腺癌结果的新型深度学习模型. UISNet提高了解释性,并识别了与乳腺癌相关的新型基因,改进了患者治疗策略.

关键词:
乳腺癌是什么? 乳腺癌是什么深度学习是一种深度学习.预测分析预测分析对生存分析的分析.

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