Shahid-Mo/CancerDetectNet-A-CNN-Based-Framework-for-Histopathologic-Cancer-Detection
View on GitHub ↗Related repositories →CancerDetectNet is a deep learning framework designed to accurately classify histopathologic scans of lymph node sections into cancerous and non-cancerous categories. Utilizing Convolutional Neural Networks (CNNs) and PyTorch, it offers a comprehensive pipeline for data preprocessing, model training, evaluation, and prediction.
active 2024-04-08 → 2024-04-09 (UTC)
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Line chart, 2 days from 2024-04-08 to 2024-04-09. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Shahid-Mo | 2 | 2 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.