利用加速鲁棒特征的眼底硬性渗出物转诊系统
Hard exudates referral system in eye fundus utilizing speeded up robust features.
作者信息
Naqvi Syed Ali Gohar, Zafar Hafiz Muhammad Faisal, Haq Ihsanul
机构信息
International Islamic University (IIUI), H-10, Islamabad, Pakistan.
出版信息
Int J Ophthalmol. 2017 Jul 18;10(7):1171-1174. doi: 10.18240/ijo.2017.07.24. eCollection 2017.
Abstract
In the paper a referral system to assist the medical experts in the screening/referral of diabetic retinopathy is suggested. The system has been developed by a sequential use of different existing mathematical techniques. These techniques involve speeded up robust features (SURF), K-means clustering and visual dictionaries (VD). Three databases are mixed to test the working of the system when the sources are dissimilar. When experiments were performed an area under the curve (AUC) of 0.9343 was attained. The results acquired from the system are promising.
摘要
本文提出了一种转诊系统，以协助医学专家对糖尿病性视网膜病变进行筛查/转诊。该系统是通过依次使用不同的现有数学技术开发而成的。这些技术包括加速稳健特征（SURF）、K均值聚类和视觉词典（VD）。混合使用三个数据库来测试该系统在数据源不同时的运行情况。进行实验时，获得了0.9343的曲线下面积（AUC）。从该系统获得的结果很有前景。
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