[MedIA2023 & MICCAI2022 ] Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning
Cellular signatures characterisation after carcinogenic chemical exposure in mammalian tissue.
Breast Cancer Prediction with Logistic Regression Classification gives an accuracy of 96.70%. apart from this Decision Tree Classification gives more accuracy along with LRC. Dataset can be available on UCI Machine Learning.
Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold
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