Deep-Learning-Based Segmentation of Extraocular Muscles from Magnetic Resonance Images

Deep-Learning-Based Segmentation of Extraocular Muscles from Magnetic Resonance Images

In this study, we investigated the performance of four deep learning frameworks of U-Net, U-NeXt, DeepLabV3+, and ConResNet in multi-class pixel-based segmentation of the extraocular muscles (EOMs) from coronal MRI. Performances of the four models were evaluated and compared with the standard F-meas...

Full description

Bibliographic Details
Main Authors: Amad Qureshi, Seongjin Lim, Soh Youn Suh, Bassam Mutawak, Parag V. Chitnis, Joseph L. Demer, Qi Wei
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Bioengineering
Subjects:
deep learning
extraocular muscle
segmentation
MRI
strabismus
ophthalmology
Online Access:https://www.mdpi.com/2306-5354/10/6/699

Internet

https://www.mdpi.com/2306-5354/10/6/699

Similar Items