GitHub / AdvayChandramouli / IDC-Detection
Jupyter notebooks implementing various ML algorithms to classify cancerous image patches accurately, with techniques like data augmentation, class weighting, SMOTE, and resampling to address class imbalance and enhance performance. Repo includes training pipelines, performance evaluation, and result visualizations.
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PURL: pkg:github/AdvayChandramouli/IDC-Detection
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 914 KB
Dependencies parsed at: Pending
Created at: 8 months ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 6 months ago
Topics: breast-cancer-classification, cnns, convolutional-neural-networks, image-classification, kaggle-dataset, logistic-regression, naive-bayes