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AI-driven mobile application for accurate classification of eye diseases from retinal images. Built with deep learning (ResNet50) and deployed using Flutter and Hugging Face for real-time predictions.
[MICCAI 2023] Official implementation of "Evidence-Driven Differential Diagnosis of Malignant Melanoma" presented at ISIC. A multi-level transformer framework that integrates contextual information and evidence at the lesion, patient, and population levels, enabling decision-making at each level.
AI-powered plant health diagnostic app with image analysis, weather, soil data integration. Multi-language support, real-time monitoring. Built with React, TypeScript, Vite.