Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Sci Rep. 2023 Mar 1;13(1):3487. doi: 10.1038/s41598-023-30459-5.
One of the most important retinal diseases is Diabetic Retinopathy (DR) which can lead to serious damage to vision if remains untreated. Red-lesions are from important demonstrations of DR helping its identification in early stages. The detection and verification of them is helpful in the evaluation of disease severity and progression. In this paper, a novel image processing method is proposed for extracting red-lesions from fundus images. The method works based on finding and extracting the unique morphological features of red-lesions. After quality improvement of images, a pixel-based verification is performed in the proposed method to find the ones which provide a significant intensity change in a curve-like neighborhood. In order to do so, a curve is considered around each pixel and the intensity changes around the curve boundary are considered. The pixels for which it is possible to find such curves in at least two directions are considered as parts of red-lesions. The simplicity of computations, the high accuracy of results, and no need to post-processing operations are the important characteristics of the proposed method endorsing its good performance.
一种最重要的视网膜疾病是糖尿病性视网膜病变（DR），如果不加以治疗，可能会导致严重的视力损害。红色病变是 DR 的重要表现，有助于在早期识别它。对其进行检测和验证有助于评估疾病的严重程度和进展。在本文中，提出了一种从眼底图像中提取红色病变的新颖图像处理方法。该方法基于找到并提取红色病变的独特形态特征。在对图像进行质量改进后，在提出的方法中执行基于像素的验证，以找到在曲线状邻域中提供显著强度变化的那些。为此，在每个像素周围考虑一条曲线，并考虑曲线边界周围的强度变化。在至少两个方向上可以找到这样的曲线的像素被认为是红色病变的一部分。该方法的计算简单、结果准确性高、无需后处理操作等特点，证明了其良好的性能。
