A Siamese Convolutional Neural Network for Identifying Mild Traumatic Brain Injury and Predicting Recovery

A Siamese Convolutional Neural Network for Identifying Mild Traumatic Brain Injury and Predicting Recovery

Timely diagnosis of mild traumatic brain injury (mTBI) remains challenging due to the rapid recovery of acute symptoms and the absence of evidence of injury in static neuroimaging scans. Furthermore, while longitudinal tracking of mTBI is essential in understanding how the diseases progresses/regres...

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Bibliographic Details
Main Authors: Fatemeh Koochaki, Laleh Najafizadeh
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Mild traumatic brain injury (mTBI)
convolutional neural networks (CNN)
Siamese neural network (SNN)
widefield calcium imaging
mTBI detection
predicting outcome
Online Access:https://ieeexplore.ieee.org/document/10504861/

Internet

https://ieeexplore.ieee.org/document/10504861/

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