A hemorrhage segmentation model for traumatic brain injury

Requirements

The system requires the following:

• Python : Python version 3
• TensorFlow: The Deep Learning library for back end.
• NiBabel: The library used for loading NIFTI files.
• numpy : General purpose array-processing package.
• scipy : Scientific packages.
• DeepMedic : A deep learning framework for medicial 3D scan segmentation. We developed the model using this framework.

Usage

Data preparing

Runing the model

Citation

Inkeaw P., Angkurawaranon S., Khumrin P., Inmutto N., Traisathit P., Chaijaruwanich J., Angkurawaranon C., Chitapanarux I.. Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning model. Computers in Biology and Medicine. 2022; 146: 105530.