Skin Lesion Classification in Images
color domain processing and texture analysis methods(using Support Vector Machine) to classify the type of lesions in skin images
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#Skin lesion classification.
Mypj.m-Based on texture Analysis
Calute Various features like GLCM,LBP,Stastical features,Min(Histogram),Max(histogram)
Applied Support Vector Algorithem
OutPut-
Dataset Link-1. https://www.kaggle.com/andrewmvd/isic-2019 Other references-2. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3184884/ 3. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129338/.
Cite As
Rohit Kumar (2026). Skin Lesion Classification in Images (https://github.com/hrx000/Skin-Lesion-Classification), GitHub. Retrieved .
General Information
- Version 2.0.0 (2.67 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 2.0.0 | Skin diseases have a serious impact on people's life and health |
||
| 1.0.0 |
