This is a project which is currently making use of HPC facilities at Newcastle University. It is active.
For further information about this project, please contact:
The aim of this project is to leverage modern machine learning techniques to generate robust automated predictions of transplant viability from images of candidates organs.
The project uses modern machine learning techniques. Software tools include: python libraries ultralytics (YOLO), PIL, pandas. Processing methods include: image segmentation, object detection, and image classification.