Ashir Abubakar M, Ibrahim Salisu, Abdulghani Mohammed, Ibrahim Abdullahi Abdu, Anwar Mohammed S
Department of Computer Engineering, Tishk International University, Erbil, KRD, Iraq.
Department of Mathematic Education, Tishk International University, Erbil, KRD, Iraq.
Int J Biomed Imaging. 2021 Apr 14;2021:6618666. doi: 10.1155/2021/6618666. eCollection 2021.
Diabetic retinopathy is one of the leading diseases affecting eyes. Lack of early detection and treatment can lead to total blindness of the diseased eyes. Recently, numerous researchers have attempted producing automatic diabetic retinopathy detection techniques to supplement diagnosis and early treatment of diabetic retinopathy symptoms. In this manuscript, a new approach has been proposed. The proposed approach utilizes the feature extracted from the fundus image using a local extrema information with quantized Haralick features. The quantized features encode not only the textural Haralick features but also exploit the multiresolution information of numerous symptoms in diabetic retinopathy. Long Short-Term Memory network together with local extrema pattern provides a probabilistic approach to analyze each segment of the image with higher precision which helps to suppress false positive occurrences. The proposed approach analyzes the retina vasculature and hard-exudate symptoms of diabetic retinopathy on two different public datasets. The experimental results evaluated using performance matrices such as specificity, accuracy, and sensitivity reveal promising indices. Similarly, comparison with the related state-of-the-art researches highlights the validity of the proposed method. The proposed approach performs better than most of the researches used for comparison.
糖尿病视网膜病变是影响眼睛的主要疾病之一。缺乏早期检测和治疗会导致患病眼睛完全失明。最近，众多研究人员尝试开发自动糖尿病视网膜病变检测技术，以辅助糖尿病视网膜病变症状的诊断和早期治疗。在本论文中，提出了一种新方法。所提出的方法利用从眼底图像中提取的特征，该特征使用局部极值信息和量化的哈氏特征。量化特征不仅编码了纹理哈氏特征，还利用了糖尿病视网膜病变中多种症状的多分辨率信息。长短期记忆网络与局部极值模式相结合，提供了一种概率方法，能够以更高的精度分析图像的每个部分，这有助于抑制误报的出现。所提出的方法在两个不同的公共数据集上分析糖尿病视网膜病变的视网膜血管和硬性渗出症状。使用特异性、准确性和敏感性等性能指标进行评估的实验结果显示出良好的指标。同样，与相关的最新研究进行比较突出了所提方法的有效性。所提出的方法比大多数用于比较的研究表现更好。
