Welcome to Pixel Diagnose! 🧠 Our mission is to empower radiologists with state-of-the-art artificial intelligence, enhancing the accuracy of differential diagnoses for cancer patients.
The Pixel Diagnose User Application is a Flask-based web application for medical image analysis. It facilitates radiologists in uploading medical images and receiving diagnostic insights through advanced AI models.
- Easy-to-use web interface for image upload and analysis.
- Integration with AI models for enhanced image processing.
- Connectivity with Qdrant for efficient data retrieval.
- Automatic browser launch feature.
This repository contains the necessary files to build the Docker container and start the web application. For those who want to quickly try out the application, a Docker demo image is available for download from the organization's profile page.
- Flask (backend)
- React (frontend)
- Python (machine learning models)
- Google Cloud Storage (data management)
- Qdrant (vector database for similarity search)
For more details on the Pixel Diagnose project, including our overarching goals, a demo video, and information on the model development, license, contact, and contribution please see our organization profile.
Empowering Radiologists, One Pixel at a Time. 🧠💡