Improving the Generalizability of Infantile Cataracts Detection via Deep Learning-Based Lens Partition Strategy and Multicenter Datasets

Improving the Generalizability of Infantile Cataracts Detection via Deep Learning-Based Lens Partition Strategy and Multicenter Datasets

Infantile cataract is the main cause of infant blindness worldwide. Although previous studies developed artificial intelligence (AI) diagnostic systems for detecting infantile cataracts in a single center, its generalizability is not ideal because of the complicated noises and heterogeneity of multi...

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Bibliographic Details
Main Authors: Jiewei Jiang, Shutao Lei, Mingmin Zhu, Ruiyang Li, Jiayun Yue, Jingjing Chen, Zhongwen Li, Jiamin Gong, Duoru Lin, Xiaohang Wu, Zhuoling Lin, Haotian Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Medicine
Subjects:
lens partition strategy
infantile cataracts
automatic diagnosis
Faster R-CNN
multicenter slit-lamp images
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.664023/full

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https://www.frontiersin.org/articles/10.3389/fmed.2021.664023/full

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