About this document
Automated Skin Disease Diagnosis System by remotework24zone is a document available to read on EtoBox.
This research presents an automated skin disease diagnosis system using DINO Vision Transformers and OpenCV, achieving approximately 92% accuracy. The web-based application extracts features from skin images and provides real-time analysis, making it accessible for underserved communities. The integration of advanced image processing and deep learning techniques aims to enhance diagnostic capabilities in clinical and remote healthcare settings.
- Author
- remotework24zone
- Language
- EN