[MedIA2023 & MICCAI2022 ] Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning
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Updated
Oct 9, 2023 - Python
[MedIA2023 & MICCAI2022 ] Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning
Cellular signatures characterisation after carcinogenic chemical exposure in mammalian tissue.
Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold
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.
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