xinario/SAGAN
Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network
This project helps medical imaging professionals improve the quality of low-dose CT scans, making them clearer and more suitable for diagnosis. It takes low-dose CT images as input and produces denoised, sharper CT images as output. Radiologists, medical physicists, and CT technicians would find this useful for enhancing scan clarity.
138 stars. No commits in the last 6 months.
Use this if you need to reduce noise in low-dose CT images, particularly those with a dose level larger than 0.71 mSv, to achieve diagnostic-quality results.
Not ideal if you are working with non-medical images or CT scans from very different dose levels, or if you do not have access to an NVIDIA GPU.
Stars
138
Forks
32
Language
Lua
License
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Category
Last pushed
Jan 04, 2022
Commits (30d)
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