Abstract: This study presents a nuanced approach to the detection and classification of ten types of skin diseases, employing both ResNet-50 for feature extraction and a Support Vector Machine (SVM) ...

Abstract: Skin diseases affect millions of people across the globe, and prevention of complications and improvement of outcomes often require promptness in diagnosis. However, the limited access to ...

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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, ...