Hejrati/cDAL
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
This project helps medical professionals, like radiologists or pathologists, quickly and accurately identify specific regions within medical images. You provide medical images such as chest X-rays, hippocampus scans, or pathology slides, and it outputs precise segmented images highlighting areas of interest like tumors or organs. This is designed for researchers and clinicians who need to delineate structures for diagnosis, treatment planning, or quantitative analysis.
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Use this if you need a fast and accurate way to segment anatomical structures or abnormalities in various medical image types like X-rays, MRI scans, or microscopic pathology images.
Not ideal if you are working with non-medical images or require segmentation for real-time applications where every millisecond counts beyond typical diagnostic workflows.
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45
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4
Language
Python
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Last pushed
Jul 01, 2025
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