Deep Learning Using Preoperative Optical Coherence Tomography Images to Predict Visual Acuity Following Surgery for Idiopathic Full-Thickness Macular Holes-Reference-Cited by-同舟云学术

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Deep Learning Using Preoperative Optical Coherence Tomography Images to Predict Visual Acuity Following Surgery for Idiopathic Full-Thickness Macular Holes

Published:2024 Issue: Volume:12 Page:32911-32926
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kucukgoz Burak¹^ORCID,Yapici Muhammed Mutlu²^ORCID,Murphy Declan C.³,Spowart Emma⁴^ORCID,Steel David H.³^ORCID,Obara Boguslaw¹^ORCID

Affiliation:

1. School of Computing, Newcastle University, Newcastle upon Tyne, U.K.

2. Elmadag Vocational School, Ankara University, Ankara, Turkey

3. Bioscience Institute, Newcastle University, Newcastle upon Tyne, U.K.

4. Sunderland Eye Infirmary, Sunderland, U.K.

Funder

Turkish Ministry of National Education

Scientific and Technological Research Council of Turkey (TUBITAK) 2219-International Postdoctoral Research Fellowship Program

Agency for Science, Technology and Research (A*STAR) Research Attachment Program

Newcastle University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10445126.pdf?arnumber=10445126

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