视网膜静脉口径异常:基于矩阵边缘场的同步平滑和分割检测与分析

Mukund Desai, R. Mangoubi, J. Danko, L. Aiello, L. Aiello, Jennifer K. Sun, J. Cavallerano
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引用次数: 3

摘要

我们提出了一种检测和分析视网膜静脉口径异常(VCAB)的新方法。我们使用1)噪声自适应矩阵边缘场变分能量泛函公式同时平滑和分割,2)分析其输出,边缘场,以证明识别变形的能力。这一贡献是朝着建立一个自动化、低成本、易于使用的分类和决策支持系统的更广泛愿景迈出的一步,该系统可用于快速、准确和一致的视网膜健康监测和病变检测和分类
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Retinal venous caliber abnormality: Detection and analysis using matrix edge fields-based simultaneous smoothing and segmentation
We present a novel approach for detecting and analyzing Retinal Venous Caliber Abnormalities (VCAB). We use 1) the noise adaptive Matrix Edge Field variational energy functional formulation for simultaneous smoothing and segmentation, and 2) analyze its output, the edge field, to demonstrate the ability to recognize the deformations. This contribution is one step towards a wider vision of establishing an automated, low cost, easy to use classification and decision support system for rapid, accurate, and consistent retinal heath monitoring and lesion detection and classification.1
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