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2018-04-30
相关数据集
F1 scores and MCCs of different algorithms using stratified k-fold cross validation technique for Wisconsin breast cancer dataset.
F1 scores and MCCs of different algorithms using stratified k-fold cross validation technique for Wisconsin breast cancer dataset.
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Breast Cancer Classification using Logistic Regression By Jeffrey C. Ulatan
Overview In this project, I build a **classification model** that predicts whether a breast tumor is **benign or malignant** based on numeric features extracted from cell nuclei. I use the **Breast Ca
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Performance comparison of AdaptiveInvolutionNet with state-of-the-art methods for breast cancer classification.
Performance comparison of AdaptiveInvolutionNet with state-of-the-art methods for breast cancer classification.
Figshare2026-02-19 更新50
ogutsevda/graph-tcga-brca
--- license: cc-by-nc-sa-4.0 task_categories: - graph-ml tags: - histopathology - graph-classification - breast-cancer - pytorch-geometric pretty_name: Graph-TCGA-BRCA size_categories: - 1M<n<10M ---
Hugging Face2026-03-03 更新20
