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 # Multi-task Learning Approach for Intracranial Hemorrhage Prognosis
 
-This repository contains the checkpoints of several deep learning intracranial hemorrhage (ICH) prognosis models, used in the paper: 'Multi-task Learning Approach for Intracranial Hemorrhage Prognosis'. 
-In particular, 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. 
+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](https://digital.csic.es/handle/10261/275792)
+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](https://digital.csic.es/handle/10261/275792).
 
 Please refer to the [original GitHub repository](https://github.com/Trustworthy-AI-UU-NKI/MultitaskLearning_ICH_Prognosis) for the code.