https://github.com/arash-keshavarz/ct-recon-seg-
Deep learning pipeline for CT image reconstruction from low-dose scans using U-Net, followed by lung/lesion segmentation. Includes evaluation with PSNR, SSIM, and Dice metrics. Demonstrates potential for enhancing medical imaging quality.
Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (1.1%) to scientific vocabulary
Repository
Deep learning pipeline for CT image reconstruction from low-dose scans using U-Net, followed by lung/lesion segmentation. Includes evaluation with PSNR, SSIM, and Dice metrics. Demonstrates potential for enhancing medical imaging quality.
Basic Info
- Host: GitHub
- Owner: Arash-Keshavarz
- Default Branch: main
- Size: 1000 Bytes
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
CT-Recon-Seg-
Deep learning pipeline for CT image reconstruction from low-dose scans using U-Net, followed by lung/lesion segmentation. Includes evaluation with PSNR, SSIM, and Dice metrics. Demonstrates potential for enhancing medical imaging quality.
Owner
- Name: Arash
- Login: Arash-Keshavarz
- Kind: user
- Repositories: 1
- Profile: https://github.com/Arash-Keshavarz
GitHub Events
Total
- Push event: 1
Last Year
- Push event: 1
Dependencies
- albumentations *
- matplotlib *
- monai *
- numpy *
- opencv-python *
- pillow *
- pydicom *
- scikit-image *
- scikit-learn *
- seaborn *
- simpleitk *
- streamlit *
- tensorboard *
- torch >=1.12
- torchvision *
- tqdm *