Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning-Reference-Cited by-同舟云学术

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Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning

Published:2024 Issue: Volume:12 Page:21012-21025
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ghamsarian Negin¹^ORCID,Putzgruber-Adamitsch Doris²,Sarny Stephanie²,Sznitman Raphael¹,Schoeffmann Klaus³^ORCID,El-Shabrawi Yosuf²

Affiliation:

1. ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland

2. Department of Ophthalmology, Klinikum Klagenfurt, Klagenfurt am Wörthersee, Austria

3. Department of Information Technology, University of Klagenfurt, Klagenfurt am Wörthersee, Austria

Funder

Haag-Streit Foundation, Switzerland

Austrian Science Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10423124.pdf?arnumber=10423124

Reference75 articles.

1. The Lancet Global Health Commission on global eye health: Vision beyond 2020

2. In-the-bag intraocular lens dislocation: A ticking time bomb

3. Office-Based Cataract Surgery

4. Measuring outcomes in cataract surgery

5. Extracapsular cataract extraction compared with small incision surgery by phacoemulsification: a randomised trial

Cited by 1 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. Cataract-1K Dataset for Deep-Learning-Assisted Analysis of Cataract Surgery Videos;Scientific Data;2024-04-12

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