Giancardo L, Meriaudeau F, Karnowski T P, Li Y, Tobin K W, Chaum E
Oak Ridge National Laboratory, University of Burgundy.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5939-42. doi: 10.1109/IEMBS.2011.6091562.
The creation of an automatic diabetic retinopathy screening system using retina cameras is currently receiving considerable interest in the medical imaging community. The detection of microaneurysms is a key element in this effort. In this work, we propose a new microaneurysms segmentation technique based on a novel application of the radon transform, which is able to identify these lesions without any previous knowledge of the retina morphological features and with minimal image preprocessing. The algorithm has been evaluated on the Retinopathy Online Challenge public dataset, and its performance compares with the best current techniques. The performance is particularly good at low false positive ratios, which makes it an ideal candidate for diabetic retinopathy screening systems.
利用视网膜相机创建自动糖尿病视网膜病变筛查系统目前在医学成像领域备受关注。微动脉瘤的检测是这项工作的关键要素。在本研究中，我们基于拉东变换的一种新应用提出了一种新的微动脉瘤分割技术，该技术无需预先了解视网膜形态特征且只需最少的图像预处理就能识别这些病变。该算法已在视网膜病变在线挑战公共数据集上进行了评估，其性能与当前最佳技术相当。在低假阳性率情况下，该算法性能尤其出色，这使其成为糖尿病视网膜病变筛查系统的理想选择。
