Retinoblastoma is a rare kind of cancer, typically designated as leukocoria (white-eye pupillary reflex) that rapidly develops from the immature cells of a retina, the light-detecting tissue of the eye. It is the most common malignant cancer of the eye in young children. Early detection of leukocoria can improve the overall treatment duration.There is intensification in interest for setting up ...

Understanding motion perception continues to be the subject of much debate, a central challenge being to account for why the speeds and directions seen accord with neither the physical movements of objects nor their projected movements on the retina. Here we investigate the varied perceptions of speed that occur when stimuli moving across the retina traverse different projected distances (the s...

BACKGROUND Retina degenerative disorders represent the primary cause of blindness in UK and in the developed world. In particular, Age Related Macular Degeneration (AMD) and Retina Pigmentosa (RP) diseases are of interest to this study. We have therefore created new image processing algorithms for enhancing the visual scenes for them. METHODS In this paper we present three novel image enhance...

The matched filter has been widely used in the detection of blood vessels of the human retina digital image. In this paper, the matched filter response to the detection of blood vessels is increased by proposing better filter parameters. These filter parameters are found by using an optimization procedure on 20 retina images of the DRIVE database. Comparisons with other approaches show that the...

The need for reliable user recognition (identification/authentication) techniques has grown in response to heightened security concerns and accelerated advances networking, communication, mobility. Biometrics, defined as the science of recognizing an individual based on his or her physical behavioral characteristics, is gaining a method determining individual's identity. Various commercial, civ...

To propose and implement a crowdsourcing framework for retinal image annotations to improve the annotation efficiency. In this study, open-source Bluelight was taken as backbone of front end online manual semantic report documents, based on that intelligent classification with deep learning (DL) supplemented. For DL modules, we trained Mask-RCNN model explicitly label area optic disc macula. Fu...

High-resolution retinal imaging requires dilating the pupil, and therefore exposing more aberrations that blur the image. We developed an image processing technique that takes advantage of the natural movement of the eye to average out some of the high-order aberrations and to oversample the retina. This method was implemented on a long sequence of retinal images of subjects with normal vision....

We proposed a deep learning method for interpretable diabetic retinopathy (DR) detection. The visualinterpretable feature of the proposed method is achieved by adding the regression activation map (RAM) after the global averaging pooling layer of the convolutional networks (CNN). With RAM, the proposed model can localize the discriminative regions of an retina image to show the specific region ...

The retina layer is the most complex and sensitive part of eye, disorders that affect it have a big impact on people's lives. Optical Coherence Tomography (OCT) imaging technology can be used to diagnose diseases are caused by pathological alterations in retina. importance early diagnosis management these illnesses cannot overstated. In this article, an approach based convolutional neural netwo...

Cardiovascular diseases (CVD) are one of the leading causes death in developed countries. Previous studies suggest that retina blood vessels provide relevant information on cardiovascular risk. Retina fundus imaging (RFI) is a cheap medical test already regularly performed diabetic population as screening retinopathy (DR). Since diabetes major cause CVD, we wanted to explore use Deep Learning a...