Ophthalmology

Prediction of Anti-VEGF Treatment Requirements in Neovascular AMD Using a Machine Learning Approach.

PURPOSE: The purpose of this study was to predict low and high anti-VEGF injection requirements during a pro re nata (PRN) treatment, based on sets of optical coherence tomography (OCT) images acquired during the initiation phase in neovascular AMD.

iLid: Low-power Sensing of Fatigue and Drowsiness Measures on a Computational Eyeglass.

The ability to monitor eye closures and blink patterns has long been known to enable accurate assessment of fatigue and drowsiness in individuals. Many measures of the eye are known to be correlated with fatigue including coarse-grained measures like the rate of blinks as well as fine-grained measures like the duration of blinks and the extent of eye closures. Despite a plethora of research valida...

Machine Learning of the Progression of Intermediate Age-Related Macular Degeneration Based on OCT Imaging.

PURPOSE: To develop a data-driven interpretable predictive model of incoming drusen regression as a sign of disease activity and identify optical cohe...

Central and peripheral vision for scene recognition: A neurocomputational modeling exploration.

What are the roles of central and peripheral vision in human scene recognition? Larson and Loschky (2009) showed that peripheral vision contributes mo...

Machine Vision-Based Measurement Systems for Fruit and Vegetable Quality Control in Postharvest.

Individual items of any agricultural commodity are different from each other in terms of colour, shape or size. Furthermore, as they are living thing,...

Automatic Identification of Glaucoma Using Deep Learning Methods.

This paper proposes an automatic classification method to detect glaucoma in fundus images. The method is based on training a neural network using pub...

Development of a Deep Learning Algorithm for Automatic Diagnosis of Diabetic Retinopathy.

This paper mainly focuses on the deep learning application in classifying the stage of diabetic retinopathy and detecting the laterality of the eye us...

Comparison of Intravitreal Bevacizumab and Intravitreal Diclofenac in the Treatment of Diabetic Macular Edema: a 6-month Follow-up.

The aim of this study was to compare the effect of intravitreal diclofenac, a non-steroidal anti-inflammatory drug (NSAID), with that of bevacizumab, ...

Rapid, portable and cost-effective yeast cell viability and concentration analysis using lensfree on-chip microscopy and machine learning.

Monitoring yeast cell viability and concentration is important in brewing, baking and biofuel production. However, existing methods of measuring viabi...

[Investigation of the in vitro effects of Melissa officinalis L., Mentha x piperita L. and Ocimum basilicum L. (Lamiaceae) essential oils on the cysts and trophozoites of Acanthamoeba castellani].

Acanthamoeba species are free living amoeba found widely all over the world. They are responsible for Acanthamoeba keratitis (AK), an infection which ...

Assistive Device for Efficient Intravitreal Injections.

Intravitreal therapy is the most common treatment for many chronic ophthalmic diseases, such as age-related macular degeneration. Due to the increasin...

Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network.

This paper presents an electroencephalography (EEG) based-classification of between pre- and post-mental load tasks for mental fatigue detection from ...

Robot-assisted retinal vein cannulation with force-based puncture detection: Micron vs. the steady-hand eye robot.

Retinal vein cannulation is a demanding procedure where therapeutic agents are injected into occluded retina veins. The feasibility of this treatment ...

Automatic detection of neovascularization on optic disk region with feature extraction and support vector machine.

Neovascularization (NV) is a definitive indicator for the onset of Proliferative Diabetic Retinopathy (PDR). The new vessels are fragile and prone to ...

Tuning electrical stimulation for thalamic visual prosthesis: An autoencoder-based approach.

Visual prosthesis holds hope of vision restoration for millions with retinal degenerative diseases. Machine learning techniques such as artificial neu...

Automatic Classification on Multi-Modal MRI Data for Diagnosis of the Postural Instability and Gait Difficulty Subtype of Parkinson's Disease.

BACKGROUND: Patients with the postural instability and gait difficulty subtype (PIGD) of Parkinson's disease (PD) are a refractory challenge in clinic...

Neural networks applied to determine the thermophysical properties of amino acid based ionic liquids.

A series of models based on artificial neural networks (ANNs) have been designed to estimate the thermophysical properties of different amino acid-bas...

A cardiac electrical activity model based on a cellular automata system in comparison with neural network model.

Cardiac Electrical Activity is commonly distributed into three dimensions of Cardiac Tissue (Myocardium) and evolves with duration of time. The indica...

Intraoperative Management of Increased Intraocular Pressure in a Patient with Glaucoma Undergoing Robotic Prostatectomy in Trendelenburg Position.

Children with Autism Spectrum Disorders Make a Fruit Salad with Probo, the Social Robot: An Interaction Study.

Social robots are thought to be motivating tools in play tasks with children with autism spectrum disorders. Thirty children with autism were included...