Retina lesion and microaneurysm segmentation using morphological reconstruction methods with ground-truth data.
Retina lesion and microaneurysm segmentation using morphological reconstruction methods with ground-truth data.
复制标题
使用形态学重建方法和地面实况数据进行视网膜病变和微动脉瘤分割。
DOI：
10.1109/iembs.2008.4650443
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Abramoff,MD
中科院分区：
文献类型：
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作者：
Karnowski,ThomasP;Govindasamy,V;Tobin,KennethW;Chaum,Edward;Abramoff,MD
在这项工作中，我们报告了一种基于Sbeh等形态重建方法的病变分割方法。我们调整该方法，以包括具有给定脉管系统分割的暗病变的分割。在使用地面实况数据确定的各种尺度下执行分割。由于该方法倾向于过度分割图像，因此使用地面实况数据来创建后处理滤波器，以将讨厌的斑点与真实病变分开。在86张图像和1296张图像的两个数据集上实现了将斑点分类为滋扰和实际病变的90%的灵敏度和特异性。
In this work we report on a method for lesion segmentation based on the morphological reconstruction methods of Sbeh et. al. We adapt the method to include segmentation of dark lesions with a given vasculature segmentation. The segmentation is performed at a variety of scales determined using ground-truth data. Since the method tends to over-segment imagery, ground-truth data was used to create post-processing filters to separate nuisance blobs from true lesions. A sensitivity and specificity of 90% of classification of blobs into nuisance and actual lesion was achieved on two data sets of 86 images and 1296 images.