Deep learning for retina structural biomarker classification using OCT images

Chi Xu; Huizhong Zheng; Keyi Liu; Yanming Chen; Chen Ye; Chenxi Niu; Shengji Jin; Yue Li; Haowei Gao; Jingxi Hu; Yuanhao Zou; Xiangjian He

doi:10.1117/12.3026739

2 May 2024 Deep learning for retina structural biomarker classification using OCT images

Chi Xu, Huizhong Zheng, Keyi Liu, Yanming Chen, Chen Ye, Chenxi Niu, Shengji Jin, Yue Li, Haowei Gao, Jingxi Hu, Yuanhao Zou, Xiangjian He

Author Affiliations +

Proceedings Volume 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024; 131643C (2024) https://doi.org/10.1117/12.3026739
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2024, 2024, Langkawi, Malaysia

Abstract

This study presents an approach to identifying retinal structural biomarkers in ophthalmology, which is essential for accurate diagnosis and effective treatment of eye diseases. We develop a multi-modal, multi-task deep learning framework that integrates supervised and semi-supervised training methods. This model effectively processes a combination of 3D Optical Coherence Tomography (OCT) images and one-dimensional clinical data. A key advancement is introducing a custom post-processing method that significantly improves the precision of biomarker detection. Our model successfully identifies six distinct biomarkers in the retina and achieves a notable macro f1-score of 71.62%, representing a substantial 14.48% improvement over the baseline performance. This advancement underscores the potential of deep learning in enhancing diagnostic accuracy and treatment efficacy in ophthalmology.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chi Xu, Huizhong Zheng, Keyi Liu, Yanming Chen, Chen Ye, Chenxi Niu, Shengji Jin, Yue Li, Haowei Gao, Jingxi Hu, Yuanhao Zou, and Xiangjian He "Deep learning for retina structural biomarker classification using OCT images", Proc. SPIE 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024, 131643C (2 May 2024); https://doi.org/10.1117/12.3026739

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Optical coherence tomography

Data modeling

Education and training

Machine learning

3D modeling

Deep learning

Image classification

Show All Keywords

Keywords/Phrases

Search In:

Publication Years