Unpaired fundus image enhancement based on constrained generative adversarial networks

IF 2 3区 物理与天体物理 Q3 BIOCHEMICAL RESEARCH METHODS
Luyao Yang, Shenglan Yao, Pengyu Chen, Mei Shen, Suzhong Fu, Jiwei Xing, Yuxin Xue, Xin Chen, Xiaofei Wen, Yang Zhao, Wei Li, Heng Ma, Shiying Li, Valery V. Tuchin, Qingliang Zhao
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引用次数: 0

Abstract

Fundus photography (FP) is a crucial technique for diagnosing the progression of ocular and systemic diseases in clinical studies, with wide applications in early clinical screening and diagnosis. However, due to the nonuniform illumination and imbalanced intensity caused by various reasons, the quality of fundus images is often severely weakened, brings challenges for automated screening, analysis, and diagnosis of diseases. To resolve this problem, we developed strongly constrained generative adversarial networks (SCGAN). The results demonstrate that the quality of various datasets were more significantly enhanced based on SCGAN, simultaneously more effectively retaining tissue and vascular information under various experimental conditions. Furthermore, the clinical effectiveness and robustness of this model were validated by showing its improved ability in vascular segmentation as well as disease diagnosis. Our study provides a new comprehensive approach for FP and also possesses the potential capacity to advance artificial intelligence-assisted ophthalmic examination.

Abstract Image

基于约束生成式对抗网络的非配对眼底图像增强。
眼底摄影(FP)是临床研究中诊断眼部和全身疾病进展的重要技术,在临床早期筛查和诊断中有着广泛的应用。然而,由于各种原因导致的光照不均匀和强度不平衡,眼底图像的质量往往被严重削弱,给疾病的自动筛查、分析和诊断带来了挑战。为了解决这一问题,我们开发了强约束生成对抗网络(SCGAN)。结果表明,基于 SCGAN,各种数据集的质量得到了更显著的提升,同时在各种实验条件下更有效地保留了组织和血管信息。此外,该模型在血管分割和疾病诊断方面的能力也得到了提高,从而验证了其临床有效性和鲁棒性。我们的研究为 FP 提供了一种新的综合方法,并具有推动人工智能辅助眼科检查的潜在能力。
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来源期刊
Journal of Biophotonics
Journal of Biophotonics 生物-生化研究方法
CiteScore
5.70
自引率
7.10%
发文量
248
审稿时长
1 months
期刊介绍: The first international journal dedicated to publishing reviews and original articles from this exciting field, the Journal of Biophotonics covers the broad range of research on interactions between light and biological material. The journal offers a platform where the physicist communicates with the biologist and where the clinical practitioner learns about the latest tools for the diagnosis of diseases. As such, the journal is highly interdisciplinary, publishing cutting edge research in the fields of life sciences, medicine, physics, chemistry, and engineering. The coverage extends from fundamental research to specific developments, while also including the latest applications.
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