zs1314/SkinMamba
【ACCVW2025 Oral】Offical Pytorch Code for "SkinMamba: A Precision Skin Lesion Segmentation Architecture with Cross-Scale Global State Modeling and Frequency Boundary Guidance"
This project helps medical practitioners, particularly dermatologists or researchers, precisely identify skin lesions from medical images. You input dermatoscopic images, and it outputs segmented images that highlight the exact boundaries of potential skin cancer. This tool is designed for medical image analysis workflows where accurate lesion detection is critical for early diagnosis.
No commits in the last 6 months.
Use this if you need to accurately segment skin lesions from medical images, especially when dealing with varying lesion sizes and indistinct boundaries, to aid in early skin cancer detection.
Not ideal if you are looking for a fully-fledged diagnostic tool or if your primary need is general image classification rather than precise segmentation.
Stars
51
Forks
7
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 21, 2024
Commits (30d)
0
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