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An uncertainty-based interpretable deep learning framework for breast cancer outcomes prediction

2022-08-26

Abstract excerpt

Accurate prediction of breast cancer outcomes is important for selecting appropriate treatment, which can prolong the survival period of the patients and improve the life quality. Recently, different deep learning-based methods are carefully designed for cancer outcomes prediction. However, the applications of these methods are still challenging due to the model interpretability. In this study, we proposed a novel...

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Literature Corpus work
f969d834-1e7a-5ded-b72d-dadf378e40ab
DOI
10.1101/2022.08.25.505346
Open publication

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An uncertainty-based interpretable deep learning framework for breast cancer outcomes predictionDOI 10.1101/2022.08.25.505346
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