视网膜病变概率图的自动生成

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI:10.1109/STSIVA.2012.6340548

J. Rudas, Ricardo Toscano, G. Sánchez

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引用次数: 0

摘要

本文的目的是从彩色视网膜造影分析中自动生成概率病变图。概率图确定给定集合中每个像素的归属程度。该过程基于三个程序序列:一组属性(对比度增强区域)，抑制伪影障碍和设置属于明亮病变的每个像素的值，使用监督分类的概率映射。通过比较随后的二值图与先验概率诊断来验证结果。结果分析均方误差(MSE)的结果诊断和诊断专家。在DIARECTDB1存储库的一组40个映像上达到了1.22的MSE。

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Automatic generation of probability maps of retinal lesions

The aim of this paper is the automatic generation of probability lesion maps from a color retinography analysis. A probability map determines the degree of belonging of each pixel in a given set. This process is based on three sequences of procedures: A set of attributes (contrasts enhancement zones), a suppression of artifacts obstacles and a setting of value of each pixel belong to a bright lesion, using probabilistic mapping by supervised classification. The validation of the results was carried out by comparing the subsequent binary map with prior probabilistic diagnosis. The results were analyzed by mean square error (MSE) between resulting diagnosis and diagnostic specialist. MSE was reached of 1.22 on a set of 40 images DIARECTDB1 repository.

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2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

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