PAXRay Project

Advanced Chest X-Ray Analysis and Segmentation

Project Overview

PAXRay is an advanced tool for chest X-ray analysis that provides automated segmentation and analysis capabilities for medical imaging. The project focuses on delivering accurate anatomical segmentation and feature extraction from chest X-ray images to support clinical diagnosis.

View on GitHub Research Paper

Key Features

Anatomical Segmentation

Precise segmentation of chest anatomical structures including lungs, heart, and other thoracic regions for detailed analysis.

AI-Powered Analysis

Advanced machine learning algorithms for automated feature extraction and pathology detection in chest X-ray images.

Clinical Integration

Designed for seamless integration into clinical workflows with standardized output formats and DICOM compatibility.

Open Source

Fully open-source implementation with comprehensive documentation and example usage for research and development.

Technical Details

Framework:
PyTorch
Language:
Python 3.8+
Input Format:
DICOM, PNG, JPG
License:
MIT