PhacoTrainer: A Multicenter Study of Deep Learning for Activity Recognition in Cataract Surgical Videos-Reference-Cited by-同舟云学术

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PhacoTrainer: A Multicenter Study of Deep Learning for Activity Recognition in Cataract Surgical Videos

Published:2021-11-16 Issue:13 Volume:10 Page:23
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Yeh Hsu-Hang¹,Jain Anjal M.²,Fox Olivia³,Wang Sophia Y.¹²

Affiliation:

1. Department of Biomedical Data Science, Stanford University, Palo Alto, CA, USA

2. Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA, USA

3. Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Cited by 8 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. Beyond PhacoTrainer: Deep Learning for Enhanced Trabecular Meshwork Detection in MIGS Videos;Translational Vision Science & Technology;2024-09-03

2. Artificial Intelligence in Cataract Surgery: A Systematic Review;Translational Vision Science & Technology;2024-04-15

3. Comparing code-free and bespoke deep learning approaches in ophthalmology;Graefe's Archive for Clinical and Experimental Ophthalmology;2024-03-06

4. Advancing Glaucoma Care: Integrating Artificial Intelligence in Diagnosis, Management, and Progression Detection;Bioengineering;2024-01-26

5. A systematic review of annotation for surgical process model analysis in minimally invasive surgery based on video;Surgical Endoscopy;2023-05-08

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