Skin Lesion Classification in Images

Version 2.0.0 (2.67 KB) by Rohit Kumar
color domain processing and texture analysis methods(using Support Vector Machine) to classify the type of lesions in skin images
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Updated 18 Apr 2022
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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-out 1 out 3

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 .

MATLAB Release Compatibility
Created with R2021b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
2.0.0

Skin diseases have a serious impact on people's life and health
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.