https://github.com/coderjolly/chest-x-ray-classification
This study tries to compare the detection of lung diseases using xray scans from three different datasets using three different neural network architectures using Pytorch and perform an ablation study by changing learning rates. The dimensional understanding is visualised using t-SNE and Grad-CAM for visualisation of diseases in x-ray scans.
https://github.com/coderjolly/chest-x-ray-classification
ablation-study chest-xrays grad-cam-visualization python pytorch t-sne transfer-learning x-ray-classification
Last synced: 3 months ago
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This study tries to compare the detection of lung diseases using xray scans from three different datasets using three different neural network architectures using Pytorch and perform an ablation study by changing learning rates. The dimensional understanding is visualised using t-SNE and Grad-CAM for visualisation of diseases in x-ray scans.
- Host: GitHub
- URL: https://github.com/coderjolly/chest-x-ray-classification
- Owner: coderjolly
- License: gpl-3.0
- Created: 2023-05-05T23:10:21.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-06-09T06:08:29.000Z (about 2 years ago)
- Last Synced: 2025-02-02T02:11:54.483Z (5 months ago)
- Topics: ablation-study, chest-xrays, grad-cam-visualization, python, pytorch, t-sne, transfer-learning, x-ray-classification
- Language: Jupyter Notebook
- Homepage:
- Size: 66.6 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0