q-cardIA

This is a python infrastructure for developing and deploying automated quantitative cardiovascular image analysis.

q-cardIA is maintained by a team of students and researchers based in the Medical Image Analysis group at the Eindhoven University of Technology.

The suite of libraries and tools will provide and end-to-end framework covering from data loading and model training to the application of trained models and the visualisation and interaction with data and analysis results.

• qcardia-data: A PyTorch and MONAI based library to build and handle medical imaging data pipelines. Can be used to quickly get highly customizable Dataloaders, including data augmentation, for deep learning purposes, especially for already supported datasets.
• qcardia-models: A PyTorch based library to build and handle medical imaging model pipelines. Can be used to quickly get highly customizable U-Net or EncoderMLP models for deep learning purposes.
• qcardia: A library to deploy trained deep learning models for quantitative cardiac image analysis.
• qcardia-app: A python-based application to visualization and interact with results of deployed quantitative cardiac image analysis models.