首页> 外文会议>38th IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009) >Retinal venous caliber abnormality: Detection and analysis using matrix edge fields-based simultaneous smoothing and segmentation
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Retinal venous caliber abnormality: Detection and analysis using matrix edge fields-based simultaneous smoothing and segmentation

机译:视网膜静脉口径异常:使用基于矩阵边缘场的同时平滑和分割进行检测和分析

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摘要

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
机译:我们提出了一种检测和分析视网膜静脉口径异常(VCAB)的新颖方法。我们使用1)噪声自适应矩阵边缘场变分能量函数公式进行同时平滑和分段,以及2)分析其输出(边缘场),以展示识别变形的能力。此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以实现快速,准确和一致的视网膜健康监测以及病变检测和分类的广阔愿景迈出的一步。 1

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