TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models

Web App for Chest X-ray classification with TorchXRayVision DenseNet121.

A computer vision (CV) application that performs real-time classification of chest X-rays to detect pneumonia using TorchXRayVision. The model accurately distinguishes between normal and pneumonia cases, aiding healthcare professionals in early diagnosis and treatment.

Clasificador multi-etiqueta de patologías torácicas con Deep Learning (AUC 0.869). PyTorch + TorchXRayVision + ONNX. Incluye notebook, modelos entrenados y diagramas de arquitectura.

An MCP-compliant server and client for chest X-ray classification and segmentation using TorchXRayVision.

Agentic Diagnostic Decision Support system for chest X-ray analysis — multi-agent pipeline with vision AI, PubMed RAG, and Gemini-powered clinical reasoning. Research/education only.