One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis-Reference-Cited by-同舟云学术

One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis

Published:2023-12 Issue:12 Volume:42 Page:3764-3778
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Fan Rui¹^ORCID,Bowd Christopher²^ORCID,Brye Nicole¹,Christopher Mark¹,Weinreb Robert N.¹,Kriegman David J.³,Zangwill Linda M.²^ORCID

Affiliation:

1. College of Electronics and Information Engineering, Shanghai Research Institute for Intelligent Autonomous Systems, State Key Laboratory of Intelligent Autonomous Systems, and the Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China

2. Viterbi Family Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California at San Diego, La Jolla, CA, USA

3. Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA, USA

Funder

Fundamental Research Funds for the Central Universities

Awards from the National Eye Institute

National Center on Minority Health and Health Disparities, National Institutes of Health

Horncrest Foundation

Department of Ophthalmology and Visual Sciences, Washington University in St. Louis

NIH Vision Core

Merck Research Laboratories, Pfizer Inc., White House Station, NJ, USA

Unrestricted Grants from Research to Prevent Blindness Inc., New York, NY, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/10336247/10227344.pdf?arnumber=10227344

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