NadavIs56/Skin_Disease_AI
A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.
This system helps medical practitioners, like dermatologists or general practitioners, accurately identify common skin conditions from images. It takes a picture of a skin lesion as input and provides a likely diagnosis for one of six different skin lesion types. This tool is designed for healthcare professionals to aid in their diagnostic workflow.
125 stars. No commits in the last 6 months.
Use this if you are a medical professional seeking an AI-powered assistant to help diagnose common skin lesions from images, aiming to improve diagnostic accuracy or efficiency.
Not ideal if you need a definitive diagnosis without human oversight, or if you are looking to identify rare skin conditions not covered by the six lesion types in its dataset.
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125
Forks
30
Language
PureBasic
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Last pushed
Apr 08, 2024
Commits (30d)
0
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