AUTOMATIC RETINAL IMAGE ANALYSIS METHODS USING COLOUR FUNDUS IMAGES FOR SCREENING GLAUCOMATOUS OPTIC NEUROPATHY

Automatic retinal image analysis methods using colour fundus images for screening glaucomatous optic neuropathy

Objectives Train an automatic retinal image analysis (ARIA) method to screen glaucomatous optic neuropathy (GON) on non-mydriatic retinal images labelled with the additional results of optical coherence tomography (OCT) and assess Wooden Photo Box different models for the GON classification.Methods All the images were obtained from the hospital for

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Region-Focusing Data Augmentation via Salient Region Activation and Bitplane Recombination for Target Detection

As the performance of a convolutional neural network is logarithmically proportional to the amount of training data, data augmentation has attracted increasing attention in recent years.Although the current data augmentation methods are efficient because they force the network to learn multiple parts of a given training image through occlusion or r

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Properties of an apolipoprotein E-enriched fraction of triglyceride-rich lipoproteins isolated from human blood plasma with a monoclonal antibody to apolipoprotein B-100.

A monoclonal antibody to apolipoprotein (apo) B-100 (JI-H) with unique binding properties has been used to separate a population of triglyceride-rich lipoproteins from blood plasma of normotriglyceridemic individuals and patients with various forms of hypertriglyceridemia.This antibody fails to recognize an apoE-rich population of very low density

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