alexklwong/subpixel-embedding-segmentation
PyTorch Implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedding (ORAL, MICCAIW 2021)
This project offers a method for precisely identifying and outlining small stroke lesions in brain MRI scans. It takes a brain MRI image as input and produces a detailed map highlighting the exact boundaries of ischemic stroke lesions. This tool is designed for clinical researchers and medical professionals who analyze brain scans for stroke diagnosis and treatment planning.
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Use this if you need to accurately segment small, irregularly shaped ischemic stroke lesions from brain MRI images, where high precision at the subpixel level is critical.
Not ideal if you are looking for a general-purpose image segmentation tool not specifically focused on medical imaging or brain lesion analysis.
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Language
Python
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Last pushed
Jul 01, 2022
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