anthonyweidai/SvANet
[TNNLS 2026] SvANet: Exploiting Scale-Variant Attention for Segmenting Small Medical Objects
This tool helps medical researchers and clinicians accurately identify and outline tiny objects in medical images. It takes raw medical images (like X-rays, MRI, or microscopy scans) as input and outputs precisely segmented images where small features of interest are highlighted. This is useful for anyone needing to analyze fine details in medical scans for diagnosis, research, or measurement.
Use this if you need to precisely segment and analyze very small structures or anomalies within medical images.
Not ideal if your primary need is for segmenting large, easily distinguishable objects or if you require a general-purpose image annotation tool.
Stars
66
Forks
4
Language
Python
License
MIT
Category
Last pushed
Jan 29, 2026
Commits (30d)
0
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