Search Results for author:
Found 3 papers, 0 papers with code
Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI
As such, we review the state-of-the-art Machine Learning (ML) techniques applied to clinical information and CT scans in TBI, with a particular focus on mTBI.
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT
To address these challenges, we propose a Residual Triplet Convolutional Neural Network (RTCNN) model to distinguish between mTBI cases and healthy ones by embedding 3D CT scans into a feature space.
Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis
Notably, in comparison to the CT-based Residual Convolutional Neural Network (RCNN) model, the MRCNN shows an improvement of 4. 4% in specificity and 9. 0% in accuracy.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
