Quantifying gender differences in orbital morphology with large MRI datasets

Quantifying gender differences in orbital morphology with large MRI datasets

Purpose: To investigate gender differences in orbital morphology using large MRI datasets. Methods: Using a deep learning-based approach, the orbit and eyeball were automatically segmented from high resolution 3D MRI images of the IXI and OASIS3 datasets. Orbital and eyeball morphological parameters...

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Bibliographic Details
Main Authors: Yingxiang Han, Qi Li, Tingting Liu, Zengsheng Chen, Xi Chen, Xiaofei Wang
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Medicine in Novel Technology and Devices
Subjects:
Orbit
Eyeball
Gender
Deep learning
MRI
Online Access:http://www.sciencedirect.com/science/article/pii/S2590093524000481
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http://www.sciencedirect.com/science/article/pii/S2590093524000481

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