Multi-task Learning Approach for Intracranial Hemorrhage Prognosis

This repository contains the checkpoints of deep learning intracranial hemorrhage (ICH) prognosis models, used in the paper: 'Multi-task Learning Approach for Intracranial Hemorrhage Prognosis'. Particularly, it contains the checkpoints of our proposed method, where we introduced a multi-task learning approach to jointly predict ICH, Glasgow Coma Scale and age, improving performance and interpretability.

The checkpoints are trained on the open-source Head-CT 2D/3D images with and without ICH prepared for Deep Learning dataset. You can access the dataset at this link.

Please refer to the original GitHub repository for the code.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
Unable to determine this model's library. Check the docs .