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Biomarker Gene Identification for Breast Cancer Classification
CONCLUSIONS: The proposed technique enables us to find a concise and clinically relevant gene signature set.
Deep Learning Based Model for Breast Cancer Subtype Classification
By deploying the combined network of stages 1 and 2, we have been able to attain a mean 10-fold test accuracy of 0. 907 on the TCGA breast cancer dataset.
COV-ELM classifier: An Extreme Learning Machine based identification of COVID-19 using Chest X-Ray Images
Further, LIME has been integrated with the proposed COV-ELM model to generate annotated CXR images.
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