Deep Neural Network Segmentation and Classification of Seizure State from Zebrafish videos for Traumatic Injury
Saved in:
Main Author: | Ahmad Faizal, Balqis |
---|---|
Format: | Final Year Project |
Published: |
2024
|
Subjects: | |
Online Access: | http://utpedia.utp.edu.my/id/eprint/28607/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Risk factors and phenytoin prophylaxis for early post-traumatic seizures among patients with traumatic brain injury
by: Chan, Kin Hup, et al.
Published: (2010) -
Early posttraumatic seizures in pediatric traumatic brain injury: A multicenter analysis
by: Chong, Shu-Ling, et al.
Published: (2022) -
Probing Traumatic Brain Injury Pathophysiology: Lessons from the Zebrafish Model
by: Mohamed, Wael Mohamed Yousef
Published: (2024) -
A local study on the incidence and risk factors of
post-traumatic seizures among patients with
traumatic brain injury
by: Chan kin, Hup
Published: (2009) -
A robust framework epileptic seizures classification based on lightweight structure deep convolutional neural network and wavelet decomposition
by: Nazanin Nemati, et al.
Published: (2020)