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RSAPower:随机样式增强驱动结构感知网络,用于通用视网膜OCT流体细分

Chenggang Lu, Zhitao Guo, Dan Zhang

IEEE transactions on medical imaging

|March 3, 2025

概括

通过使用风格增强,RSAPower通过使用光学一致性断层扫描 (OCT) 图像来改善视网膜液体细分. 这种新的方法增强了网络的概括性,以更好地评估疾病的严重程度.

科学领域:

眼科医生眼科眼科
医疗成像医学成像
计算机视觉计算机视觉

背景情况:

光学连贯断层扫描 (OCT) 对于视网膜疾病的非侵入性诊断至关重要.
在OCT图像中对视网膜液的准确细分对于疾病量化和临床决策至关重要.
目前的细分方法与病理变异,不清楚的边界,低对比度和域移动作斗争,这是由于不同OCT图像风格造成的.

研究的目的:

提出一种新的方法,RSAPower,以提高流体细分网络的泛化能力.
为了应对域变性的挑战,用于改善流体细分的OCT图像样式.

主要方法:

介绍了RSAPower,该方法结合了随机风格转换增强 (RSTAug) 模块和流体感知网络 (FLPNet).
RSTAug从源域生成多样化,现实化的风格增强数据.
FLPNet具有混合结构注意力 (HSA) 模块,用于空间和远程特征感知,以及以突出指导的多尺度注意力 (SGMA) 块,用于适应增强数据.

主要成果:

与最先进的方法相比,RSAPower表现出优越的概括能力.
该方法在Retouch和Kermany数据集上的视网膜液细分方面取得了很高的效率.
实验验证证了RSAPower对域变异的稳定性.

结论:

通过样式增强,RSAPower有效地增强了流体细分网络的泛化.
拟议的方法提供了一个有前途的解决方案,用于在不同OCT成像条件下准确和强大的流体细分.
这种方法有助于更可靠地量化与视网膜液相关的疾病.

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相关概念视频

The Retina

The Retina

The retina is a layer of nervous tissue at the back of the eye that transduces light into neural signals. This process, called phototransduction, is carried out by rod and cone photoreceptor cells in the back of the retina.

Vision

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.