xmindflow/deformableLKA

[WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation

31
/ 100
Emerging

This project helps medical professionals, researchers, and imaging specialists accurately outline organs or abnormalities within medical scans. You input medical images (like MRI or CT scans), and it outputs precise segmented regions, such as the boundaries of organs like the spleen, liver, or pancreas, or skin lesions. It is designed for anyone working with medical imaging who needs to isolate specific structures for diagnosis, treatment planning, or quantitative analysis.

259 stars. No commits in the last 6 months.

Use this if you need highly accurate, automated segmentation of anatomical structures or lesions in 2D or 3D medical images.

Not ideal if your primary goal is general image segmentation outside of the medical domain or if you are working with very low-resolution images where fine detail is not critical.

medical-imaging radiology diagnostic-imaging anatomical-segmentation lesion-detection
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 13 / 25

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Stars

259

Forks

20

Language

Python

License

Last pushed

Feb 07, 2024

Commits (30d)

0

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