Evaluation of artificial intelligence models for the detection of asymmetric keratoconus eyes using Scheimpflug tomography-Reference-Cited by-同舟云学术

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Evaluation of artificial intelligence models for the detection of asymmetric keratoconus eyes using Scheimpflug tomography

Published:2022-07-02 Issue:7 Volume:50 Page:714-723
ISSN:1442-6404
Container-title:Clinical & Experimental Ophthalmology
language:en
Short-container-title:Clinical Exper Ophthalmology

Author:

Xu Zhe¹,Feng Ruiwei²,Jin Xiuming¹^ORCID,Hu Heping²,Ni Shuang¹,Xu Wen¹,Zheng Xiangshang²,Wu Jian¹³,Yao Ke¹^ORCID

Affiliation:

1. Eye Center of the Second Affiliated Hospital, School of Medicine Zhejiang University Hangzhou Zhejiang China

2. College of Computer Science and Technology Zhejiang University Hangzhou Zhejiang China

3. School of Public Health Zhejiang University Hangzhou Zhejiang China

Funder

National Key Research and Development Program of China

Publisher

Wiley

Subject

Ophthalmology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ceo.14126

Reference42 articles.

1. Complications of Laser in situ Keratomileusis: Etiology, Prevention, and Treatment

2. Risk Assessment for Ectasia after Corneal Refractive Surgery

3. Distinguishing Highly Asymmetric Keratoconus Eyes Using Combined Scheimpflug and Spectral-Domain OCT Analysis

4. Chasing the suspect: keratoconus

5. Enhanced Combined Tomography and Biomechanics Data for Distinguishing Forme Fruste Keratoconus

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Role of artificial intelligence, machine learning and deep learning models in corneal disorders – A narrative review;Journal Français d'Ophtalmologie;2024-09

2. Utility of artificial intelligence in the diagnosis and management of keratoconus: a systematic review;Frontiers in Ophthalmology;2024-05-17

3. CorNet: Autonomous feature learning in raw Corvis ST data for keratoconus diagnosis via residual CNN approach;Computers in Biology and Medicine;2024-04

4. Potential applications of artificial intelligence in image analysis in cornea diseases: a review;Eye and Vision;2024-03-07

5. Deep Learning Models Used in the Diagnostic Workup of Keratoconus: A Systematic Review and Exploratory Meta-Analysis;Cornea;2024-02-01

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