This project uses deep learning techniques to develop a model for lung cancer detection. The model leverages convolutional neural network (CNN) architectures, particularly the Xception model, to classify medical images (e.g., CT scans, X-rays).The goal is to improve early detection of lung cancer.
active 2025-01-22 → 2025-01-22 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-01-22 to 2025-01-22. Pushes: 9 total, peak 9 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| MinalAli | 10 | 9 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.