Segmentation of the retinal vasculature is a first step towards automated screening for diabetic retinopathy, a leading cause of adult blindness, but which can be prevented if identified early enough. This paper summarizes the retinal vasculature segmentation approach developed combining the twodimensional continuous wavelet transform and supervised pixel classification. The open source softwar...

In medical imaging, there are clinically relevant segmentation tasks where the output mask is a projection to subset of input image dimensions. this work, we propose novel convolutional neural network architecture that can effectively learn produce lower-dimensional than image. The restores encoded representation only in spatial dimensions and keeps unchanged others. newly proposed projective s...

Image segmentation is an important task in image processing and computer vision which attract many researchers attention. There are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. Markov random field (MRF) is a tool for modeling statistical and structural inf...

BACKGROUND To study the impact of image quality on quantitative measurements and the frequency of segmentation error with optical coherence tomography angiography (OCTA). METHODS Seventeen eyes of 10 healthy individuals were included in this study. OCTA was performed using a swept-source device (Triton, Topcon). Each subject underwent three scanning sessions 1-2 min apart; the first two scans...

Diabetic retinopathy, Glaucoma, Hypertension are the most common sight threatening eye diseases due to the changes in the blood vessel structure. The retinal blood vessel segmentation helps to identify the successive stages of a these diseases and thus helps to treat them at early stages. Blood vessel segmentation by making use of multilayer perceptron neural network is one such technique used ...

Automatic segmentation of the vasculature in retinal images is important in the detection of diabetic retinopathy that affects the morphology of the blood vessel tree. In this paper, a hybrid method for efficient segmentation of multiple oriented blood vessels in colour retinal images is proposed. Initially, the appearance of the blood vessels are enhanced and background noise is suppressed wit...

Retina image quality is affected by numerous factors including aging, refractive condition, and media opacity. Distracters that exist in certain age groups may not be present in another. This is evident when the retinal nerve fiber is more visible in younger age group, tricking the vessel segmentation algorithm to label it as vessel thus affecting the specificity performance of the supervised r...