Detection of Diabetic Retinopathy Lesions from Spectral Retinal Images
ثبت نشده
چکیده
Lappeenranta University of Technology School of Engineering Science Degree Programme in Computational Engineering and Technical Physics Intelligent Computing Major
منابع مشابه
Morphological Exudate Detection in Retinal Images using PCA-based Optic Disc Removal
Diabetic retinopathy lesion detection such as exudate in fundus image of retina can lead to early diagnosis of the disease. Retinal image includes dark areas such as main blood vessels and retinal tissue and also bright areas such as optic disk, optical fibers and lesions e.g. exudate. In this paper, a multistage algorithm for the detection of exudate in foreground is proposed. The algorithm se...
متن کاملEarly Detection of Diabetic Retinopathy in Fluorescent Angiography Retinal Images Using Image Processing Methods
Introduction: Diabetic retinopathy (DR) is the single largest cause of sight loss and blindness in the working age population of Western countries; it is the most common cause of blindness in adults between 20 and 60 years of age. Early diagnosis of DR is critical for preventing vision loss so early detection of microaneurysms (MAs) as the first signs of DR is important. This paper addresses th...
متن کاملDetection of Microaneurysms in Retinal Angiography Images Using the Circular Hough Transform
This paper presents an automated method for detecting microaneurysms in the retinal angiographic images by using image processing techniques. In the presented method, in order to fade or remove the pseudo images, first retinal images are pre-processed. Then microaneurysms are identified by circular Hough transform. In the existing methods of dete...
متن کاملDetection of Microaneurysms in Retinal Angiography Images Using the Circular Hough Transform
This paper presents an automated method for detecting microaneurysms in the retinal angiographic images by using image processing techniques. In the presented method, in order to fade or remove the pseudo images, first retinal images are pre-processed. Then microaneurysms are identified by circular Hough transform. In the existing methods of dete...
متن کاملارایه مدلی از شبکههای عصبی خودسازمانده سلسله مراتبی در جهت تشخیص و طبقهبندی ضایعات شبکیه برای درجهبندی رتینوپاتی دیابتی
Background: One common symptom of diabetes is diabetic retinopathy, if not timely diagnosed and treated, leads to blindness. Retinal image analysis has been currently adopted to diagnose retinopathy. In this study, a model of hierarchical self-organized neural networks has been presented for the detection and classification of retina in diabetic patients. Methods: This study is a retrospective...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017