کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11012505 | 1798844 | 2019 | 44 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Diagnosis of diabetic retinopathy based on holistic texture and local retinal features
ترجمه فارسی عنوان
تشخیص رتینوپاتی دیابتی مبتنی بر بافت جامع و ویژگی های شبکیه محلی است
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
In this paper, eye fundus images are analyzed for the automatic detection of diabetic retinopathy. One thousand two hundred eye fundus images of the Messidor database were used to test the system using the cross validation in various settings. Two types of features were extracted including the holistic texture features and the local retinal features. Four classifiers were implemented including the k-nearest neighbors, neural networks, support vector machines, and random decision forests. The best results from the analysis of holistic texture features were obtained for the Independent Component Analysis method, which had never been tested before in this type of image. Furthermore, the performance of our system improved greatly when two local retinal features - micro-aneurysms and exudates - were incorporated into the analysis, a methodology inspired by a modular approach originally developed for face-recognition tasks. The diagnostic performance of our algorithm is very promising and similar to previous automatic systems and human expert analysis on the same dataset. This framework has the potential to be used as an aiding tool for the diagnosis of diabetic retinopathy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 475, February 2019, Pages 44-66
Journal: Information Sciences - Volume 475, February 2019, Pages 44-66
نویسندگان
Luis Bastos Frazao, Nipon Theera-Umpon, Sansanee Auephanwiriyakul,