Article
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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Identifiers and source
- Literature Corpus work
- f969d834-1e7a-5ded-b72d-dadf378e40ab
- DOI
- 10.1101/2022.08.25.505346
