Improving Clinical Predictions with Multi-Modal Pre-training in Retinal Imaging-Reference-Cited by-同舟云学术

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Improving Clinical Predictions with Multi-Modal Pre-training in Retinal Imaging

Published:2024-05-27 Issue: Volume:67 Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
language:
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Author:

Sükei Emese¹,Rumetshofer Elisabeth²,Schmidinger Niklas²,Mayr Andreas²,Schmidt-Erfurth Ursula¹,Klambauer Günter²,Bogunović Hrvoje¹

Affiliation:

1. Medical University of Vienna,OPTIMA Lab,Department of Ophthalmology,Austria

2. Johannes Kepler University,LIT AI Lab, Institute for Machine Learning,Linz,Austria

Funder

Austrian Science Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635447.pdf?arnumber=10635447

Reference28 articles.

1. Artificial intelligence in retina;Schmidt-Erfurth,2018

2. Clinically applicable deep learning for diagnosis and referral in retinal disease;De Fauw,2018

3. Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices;Abràmoff,2018

4. With an eye to AI and autonomous diagnosis;Keane,2018

5. Optical Coherence Tomography

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