Is histogram manipulation always beneficial when trying to improve model performance across devices? Experiments using a Meibomian gland segmentation model

Is histogram manipulation always beneficial when trying to improve model performance across devices? Experiments using a Meibomian gland segmentation model

Meibomian gland dysfunction (MGD) is caused by abnormalities of the meibomian glands (MG) and is one of the causes of evaporative dry eye (DED). Precise MG segmentation is crucial for MGD-related DED diagnosis because the morphological parameters of MG are of importance. Deep learning has achieved s...

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Bibliographic Details
Main Authors: Xianyu Deng, Lei Tian, Yinghuai Zhang, Ao Li, Shangyu Cai, Yongjin Zhou, Ying Jie
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
Meibomian gland
segmentation
histogram
image
model performance
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2022.1067914/full

Internet

https://www.frontiersin.org/articles/10.3389/fcell.2022.1067914/full

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