Bi-DenseNet: Automatic recognition of ocular surface disease using smartphone imaging-Reference-Cited by-同舟云学术

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Bi-DenseNet: Automatic recognition of ocular surface disease using smartphone imaging

Published:2024-10 Issue: Volume:96 Page:106622
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Luo Xiongbiao^ORCID,Lin Xiang,Ouyang Weijie,Zheng Song,Chen Jianhui,Liu Zuguo

Publisher

Elsevier BV

Reference43 articles.

1. Defining ocular surface disease activity and damage indices by an international delphi consultation;Mathewson;Ocular Surf.,2017

2. Dry eye syndrome preferred practice pattern®;Akpek;Ophthalmology,2019

3. The development and evaluation of the new ocular surface disease index-6;Pult;Ocular Surf.,2019

4. TFOS DEWS II report executive summary;Craig;Ocular Surf.,2017

5. Corneal topography, principles and applications;Kirkness;Br. J. Ophthalmol.,1999

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