各种分割技术在视网膜眼底图像渗出物早期检测中的比较综述

A. Kaur, Prabhpreet Kaur
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引用次数: 3

摘要

糖尿病视网膜病变是发达国家视力损害最普遍的健康问题。早期发现糖尿病视网膜病变对挽救视力损害和有效治疗具有重要意义。渗出物是dr的症状,文献中讨论了许多分割渗出物的方法。本文介绍了不同的渗出液分割技术及其优缺点。所讨论的技术在准确性、特异性、PPV、错误率和灵敏度方面都有提高。对比结果表明,基于蚁群算法的图像分割效果较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comparative review of various segmentation techniques for early detection of exudates in retinal fundus images
Diabetic retinopathy is a health problem that most widespread cause of vision damage in developed countries. Early recognition of Diabetic retinopathy is very important for saving vision pairment and for effective treatment. Exudates are the symptoms of DR. Many approaches in literature are discussed on segmenting the exudates. This paper has shown different techniques of exudates segmentation with its benefits and limitations. All discussed techniques have improved the performance in terms of accuracy, specificity, PPV, Error Rate and sensitivity. The comparison has shown that ant colony optimization based segmentation has better results over each techniques.
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