Gradio-based web UI for medical image interpretation using Google's MedGemma vision-language model.
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Updated
Jun 16, 2025 - Python
Gradio-based web UI for medical image interpretation using Google's MedGemma vision-language model.
KneeCare is a multi-modal AI and IoT platform for Knee Osteoarthritis (KOA) monitoring, combining X-ray KL grading with real-time wearable vibroarthrography (VAG) sensing for smart prediction and recovery tracking.
Finetuning swin_large_patch4 for XRAY analysis
X-RayGuard is a deep learning system designed to detect lung diseases—specifically COVID-19, Viral Pneumonia, and Normal cases—from chest X-ray images. Built with TensorFlow and Gradio, it offers an end-to-end solution for medical image analysis, combining high accuracy with explainable AI insights.
End-to-end deep learning system for bone fracture detection and multiclass classification using Vision Transformer (ViT), featuring high-accuracy prediction, real-time inference, and AI-generated diagnostic reports for medical imaging applications.
Deep Learning-based Bone Fracture Classification System using ResNet50 Transfer Learning, TensorFlow, Keras, and Streamlit for automated X-ray image analysis.
AI-powered medical diagnostic platform — chest X-ray analysis (DenseNet121), fracture detection (YOLOv8), wound classification (ViT), and LLM clinical report synthesis. Built with FastAPI + React 19 + Supabase.
AI-powered X-ray fracture detection using ResNet18 classification and YOLO segmentation with Streamlit interface
Panoramik radyografi tespiti için yapay zeka destekli diş röntgeni analiz asistanı
support pyXspec (in Heasarc) on jupyter with matplotlib
Deep Learning system for Chest X-Ray multi-label diagnosis using DenseNet121. Features custom Grad-CAM implementation for clinical interpretability (Heatmaps) and calibrated thresholds to minimize false negatives. Built with PyTorch and Streamlit.
Flutter mobile app for X-ray pneumonia detection using deep learning. Supports VGG16, EfficientNet, InceptionV3, and ResNet50 models with real-time image analysis.
Restore online features for Mirror's Edge on PC through a custom Go server and Windows launcher for leaderboards, ghost data, and account management.
AI-powered Bone Fracture Detection System using DenseNet121 and the MURA Dataset with Body Part Classification, Fracture Detection, Grad-CAM Visualization, and PDF Report Generation.
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