Review: Algorithmic advances in central serous chorioretinopathy OCT: From classification to segmentation

IF 4.9 2区医学 Q1 ENGINEERING, BIOMEDICAL

Biomedical Signal Processing and Control Pub Date : 2025-10-15 DOI:10.1016/j.bspc.2025.108876

Yihan Zhu , Yanwu Xu , Weihua Yang

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引用次数: 0

Abstract

Central serous chorioretinopathy (CSC) is a common fundus disease characterized by serous retinal detachment in the macular region, which significantly impacts patients’ visual function. In recent years, with the continuous development of deep learning and image processing algorithms, remarkable progress has been made in algorithmic research based on CSC OCT images, particularly with a surge of innovative work and outstanding achievements in the areas of classification and segmentation. Through a systematic review of 62 research papers on CSC OCT algorithm development, this article summarizes multi-class algorithms such as binary and three-way classification, as well as algorithm optimization methods. It also reviews segmentation techniques for structures including serous retinal detachment (SRD), pigment epithelial detachment (PED), retinal vasculature, and the choroidal layer. Progress in CSC prediction, assessment, and assisted analysis algorithms is also summarized. Furthermore, the transition from classification to segmentation in CSC OCT algorithms is analyzed, along with the challenges and limitations in this research field. This review aims to provide a comprehensive understanding of the current state and future directions of CSC OCT image algorithm research for investigators in this domain.

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回顾：中央浆液性脉络膜视网膜病变OCT的算法进展：从分类到分割

中枢性浆液性脉络膜视网膜病变（CSC）是一种以黄斑区浆液性视网膜脱离为特征的常见眼底疾病，严重影响患者的视觉功能。近年来，随着深度学习和图像处理算法的不断发展，基于CSC OCT图像的算法研究取得了显著进展，特别是在分类和分割领域涌现出大量创新工作，取得了突出成果。本文通过对62篇CSC OCT算法发展研究论文的系统综述，总结了二元分类、三向分类等多类算法，以及算法优化方法。它还回顾了包括浆液性视网膜脱离（SRD）、色素上皮脱离（PED）、视网膜脉管系统和脉络膜层在内的结构分割技术。综述了CSC预测、评估和辅助分析算法的研究进展。此外，分析了CSC OCT算法从分类到分割的过渡，以及该研究领域面临的挑战和局限性。本文旨在为该领域的研究者提供对CSC OCT图像算法研究现状和未来发展方向的全面了解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Biomedical Signal Processing and Control 工程技术-工程：生物医学

CiteScore

9.80

自引率

13.70%

发文量

822

审稿时长

4 months

期刊介绍： Biomedical Signal Processing and Control aims to provide a cross-disciplinary international forum for the interchange of information on research in the measurement and analysis of signals and images in clinical medicine and the biological sciences. Emphasis is placed on contributions dealing with the practical, applications-led research on the use of methods and devices in clinical diagnosis, patient monitoring and management. Biomedical Signal Processing and Control reflects the main areas in which these methods are being used and developed at the interface of both engineering and clinical science. The scope of the journal is defined to include relevant review papers, technical notes, short communications and letters. Tutorial papers and special issues will also be published.