Thomasbehan/LesNet
LesNet (Lesion Net) is an open-source project for AI-based skin lesion detection. It aims to create a reliable tool and foster community involvement in critical AI problems. Contributions are welcome!
This project helps medical researchers and AI developers create and improve tools for detecting skin lesions. It takes images of skin lesions as input and uses deep learning to classify them, helping to identify potential skin cancers. The primary users are those working on developing and evaluating automated diagnostic systems in dermatology.
Use this if you are a researcher or AI developer working on automated skin lesion analysis and need a robust deep learning model and data preprocessing pipeline.
Not ideal if you are looking for a certified medical diagnostic tool for clinical use, as this is a research project.
Stars
19
Forks
2
Language
Python
License
MPL-2.0
Category
Last pushed
Feb 11, 2026
Commits (30d)
0
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