Context attention-and-fusion network for multiclass retinal fluid segmentation in OCT images

Yanqing Ye; Xinjian Chen; Fei Shi; Dehui Xiang; Lingjiao Pan; Weifang Zhu

doi:10.1117/12.2580527

15 February 2021 Context attention-and-fusion network for multiclass retinal fluid segmentation in OCT images

Yanqing Ye, Xinjian Chen, Fei Shi, Dehui Xiang, Lingjiao Pan, Weifang Zhu

Proceedings Volume 11596, Medical Imaging 2021: Image Processing; 1159622 (2021) https://doi.org/10.1117/12.2580527
Event: SPIE Medical Imaging, 2021, Online Only

Conference Poster

Abstract

Optical coherence tomography (OCT) is an imaging modality that is extensively used for ophthalmic diagnosis and treatment. OCT can help reveal disease-related alterations below the surface of the retina, such as retinal fluid which can cause vision impairment. In this paper, we propose a novel context attention-and-fusion network (named as CAF-Net) for multiclass retinal fluid segmentation, including intraretinal fluid (IRF), subretinal fluid (SRF) and pigment epithelial detachment (PED). To deal with the seriously uneven sizes and irregular distributions of different types of fluid, our CAF-Net proposes the context shrinkage encode (CSE) module and context pyramid guide (CPG) module to extract and fuse global context information. The CSE module embedded in the encoder path can ignore redundant information and focus on useful information by a shrinkage function. Besides, the CPG module is inserted between the encoder and decoder, which can dynamically fuse multi-scale information in high-level features. The proposed CAF-Net was evaluated on a public dataset from RETOUCH Challenge in MICCAI2017, which consists of 70 OCT volumes with three types of retinal fluid from three different types of devices. The average of Dice similarity coefficient (DSC) and Intersection over Union (IoU) are 74.64% and 62.08%, respectively.

Conference Presentation

Citation Download Citation

Yanqing Ye, Xinjian Chen, Fei Shi, Dehui Xiang, Lingjiao Pan, and Weifang Zhu "Context attention-and-fusion network for multiclass retinal fluid segmentation in OCT images", Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 1159622 (15 February 2021); https://doi.org/10.1117/12.2580527

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