Centre for Visual Information Technology, International Institute of Information Technology, Hyderabad 500032, Andhra Pradesh, India.
IEEE Trans Biomed Eng. 2011 Mar;58(3):664-73. doi: 10.1109/TBME.2010.2096223. Epub 2010 Dec 3.
The presence of microaneurysms (MAs) is usually an early sign of diabetic retinopathy and their automatic detection from color retinal images is of clinical interest. In this paper, we present a new approach for automatic MA detection from digital color fundus images. We formulate MA detection as a problem of target detection from clutter, where the probability of occurrence of target is considerably smaller compared to the clutter. A successive rejection-based strategy is proposed to progressively lower the number of clutter responses. The processing stages are designed to reject specific classes of clutter while passing majority of true MAs, using a set of specialized features. The true positives that remain after the final rejector are assigned a score which is based on its similarity to a true MA. Results of extensive evaluation of the proposed approach on three different retinal image datasets are reported, and used to highlight the promise in the presented strategy.
微动脉瘤（MAs）的存在通常是糖尿病视网膜病变的早期迹象，因此自动从彩色视网膜图像中检测它们具有重要的临床意义。在本文中，我们提出了一种从数字彩色眼底图像中自动检测 MA 的新方法。我们将 MA 检测表述为从杂波中检测目标的问题，其中目标的出现概率与杂波相比要小得多。提出了一种基于连续拒绝的策略，以逐步减少杂波响应的数量。处理阶段旨在使用一组专门的特征来拒绝特定类型的杂波，同时通过大多数真正的 MA。在最后一个拒绝器之后保留的真阳性被分配一个基于其与真实 MA 的相似性的分数。报告了在三个不同的视网膜图像数据集上对所提出方法的广泛评估结果，并利用这些结果突出了所提出策略的潜力。
