various neurological complications occur in primary or secondary antiphospholipid syndrome (aps) consisting of cerebrovascular attacks, ocular events, dementia, seizure, chorea, and transverse myelopathy that are all related to the titer of antiphospholipid antibodies (apl). we report a patient with chorea and retinal vessel occlusion as manifestations of systemic lupus erythematosus (sle) and ...

BACKGROUND Automatic fundus image processing plays a significant role in computer-assisted retinopathy diagnosis. As retinal vasculature is an important anatomical structure in ophthalmic images, recently, retinal vasculature segmentation has received considerable attention from researchers. A segmentation method usually consists of three steps: preprocessing, segmentation, post-processing. Mos...

In recent years, convolutional neural network architectures have become increasingly complex to achieve improved performance on well-known benchmark datasets. this research, we introduced G-Net light, a lightweight modified GoogleNet with filter count per layer reduce feature overlaps, hence reducing the complexity. Additionally, by limiting amount of pooling layers in proposed architecture, ex...

Computer-Aided diagnosis (CAD) is a widely used technique to detect and diagnose diseases like tumors, cancers, edemas, etc. Several critical retinal diabetic retinopathy (DR), hypertensive (HR), Macular degeneration, retinitis pigmentosa (RP) are mainly analyzed based on the observation of fundus images. The raw images inferior quality represent minor changes directly. To analyze in vasculatur...

Retinal vessel segmentation is an essential step of the diagnoses of various eye diseases. In this paper, we propose an automatic, efficient and unsupervised method based on gradient matrix, the normalized cut criterion and tracking strategy. Making use of the gradient matrix of the Lucas-Kanade equation, which consists of only the first order derivatives, the proposed method can detect a candi...

Retinal vessel segmentation algorithms play an important role for the detection of numerous diseases, such as diabetic retinopathy, glaucoma and many others. The aim of this paper is report an automated method for segmentation of retinal blood vessels using the crest lines and morphological operations. Initially, each image is preprocessed and the green channel is obtained. Then, we extract the...

Segmentation of retinal blood vessels is of substantial clinical importance for diagnoses of many diseases, such as diabetic retinopathy, hypertension and cardiovascular diseases. In this paper, the supervised method is presented to tackle the problem of retinal blood vessel segmentation, which combines two superior classifiers: Convolutional Neural Network (CNN) and Random Forest (RF). In this...