jhernandezga/CT_Reconstruction_LEARN_paper
Implementation of the paper LEARN: Learned Experts’ Assessment-based Reconstruction Network for Sparse-data CT Hu Chen, Yi Zhang, Yunjin Chen, et. al
This project helps medical imaging professionals create clear computed tomography (CT) scans even when the raw data is limited or 'sparse'. You input sparse CT scan data, and it outputs a high-quality, reconstructed CT image. It's designed for radiologists, imaging scientists, and researchers who need to improve image quality from low-dose or incomplete CT scans.
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Use this if you need to reconstruct detailed CT images from sparse or low-dose scan data to improve diagnostic quality.
Not ideal if you're looking for a user-friendly, out-of-the-box software solution, as it requires setting up a development environment and running scripts.
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Jan 14, 2024
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