Evidential deep learning-based ALK-expression screening using H&E-stained histopathological images
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Research is being conducted on the use of deep learning-based screening methods for detecting certain cancer biomarkers. The methods involve analyzing histopathological images, and studies have explored their application in both non-small cell lung cancer and breast cancer. The approach has shown potential for identifying morphological features and predicting treatment efficacy, although its specific applications and outcomes are still being investigated.