Ophthalmology

Computational rationality: A converging paradigm for intelligence in brains, minds, and machines.

After growing up together, and mostly growing apart in the second half of the 20th century, the fields of artificial intelligence (AI), cognitive science, and neuroscience are reconverging on a shared view of the computational foundations of intelligence that promotes valuable cross-disciplinary exchanges on questions, methods, and results. We chart advances over the past several decades that addr...

Weakly Supervised Human Fixations Prediction.

Automatically predicting human eye fixations is a useful technique that can facilitate many multimedia applications, e.g., image retrieval, action recognition, and photo retargeting. Conventional approaches are frustrated by two drawbacks. First, psychophysical experiments show that an object-level interpretation of scenes influences eye movements significantly. Most of the existing saliency model...

Classification of diabetes maculopathy images using data-adaptive neuro-fuzzy inference classifier.

Prolonged diabetes retinopathy leads to diabetes maculopathy, which causes gradual and irreversible loss of vision. It is important for physicians to ...

Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning.

GOAL: Cataracts are a clouding of the lens and the leading cause of blindness worldwide. Assessing the presence and severity of cataracts is essential...

A Hybrid Swarm Algorithm for optimizing glaucoma diagnosis.

Glaucoma is among the most common causes of permanent blindness in human. Because the initial symptoms are not evident, mass screening would assist ea...

Surgical planning for horizontal strabismus using Support Vector Regression.

Strabismus is a pathology which affects about 4% of the population, causing esthetic problems (reversible at any age) and irreversible sensory disorde...

Local configuration pattern features for age-related macular degeneration characterization and classification.

Age-related Macular Degeneration (AMD) is an irreversible and chronic medical condition characterized by drusen, Choroidal Neovascularization (CNV) an...

Overground robot assisted gait trainer for the treatment of drug-resistant freezing of gait in Parkinson disease.

Freezing of Gait (FOG) is a frequent and disabling feature of Parkinson disease (PD). Gait rehabilitation assisted by electromechanical devices, such ...

An in silico expert system for the identification of eye irritants.

This report describes development of an in silico, expert rule-based method for the classification of chemicals into irritants or non-irritants to eye...

A Fuzzy-Based Fusion Method of Multimodal Sensor-Based Measurements for the Quantitative Evaluation of Eye Fatigue on 3D Displays.

With the rapid increase of 3-dimensional (3D) content, considerable research related to the 3D human factor has been undertaken for quantitatively eva...

Flying over uneven moving terrain based on optic-flow cues without any need for reference frames or accelerometers.

Two bio-inspired guidance principles involving no reference frame are presented here and were implemented in a rotorcraft, which was equipped with pan...

A small-scale hyperacute compound eye featuring active eye tremor: application to visual stabilization, target tracking, and short-range odometry.

In this study, a miniature artificial compound eye (15 mm in diameter) called the curved artificial compound eye (CurvACE) was endowed for the first t...

Multi-motion robots control based on bioelectric signals from single-channel dry electrode.

This article presents a multi-motion control system to help severe disabled people operate an auxiliary appliance using neck-up bioelectric signals me...

Combining macula clinical signs and patient characteristics for age-related macular degeneration diagnosis: a machine learning approach.

BACKGROUND: To investigate machine learning methods, ranging from simpler interpretable techniques to complex (non-linear) "black-box" approaches, for...

Watershed based intelligent scissors.

Watershed based modification of intelligent scissors has been developed. This approach requires a preprocessing phase with anisotropic diffusion to re...

A closer look at the apparent correlation of structural and functional connectivity in excitable neural networks.

The relationship between the structural connectivity (SC) and functional connectivity (FC) of neural systems is a central focus in brain network scien...

Development of system using beam's eye view images to measure respiratory motion tracking errors in image-guided robotic radiosurgery system.

The accuracy of the CyberKnife Synchrony Respiratory Tracking System (SRTS) is considered to be patient-dependent because the SRTS relies on an indivi...

Retinal vessel extraction using Lattice Neural Networks with Dendritic Processing.

Retinal images can be used to detect and follow up several important chronic diseases. The classification of retinal images requires an experienced op...

Estimation of the chemical-induced eye injury using a Weight-of-Evidence (WoE) battery of 21 artificial neural network (ANN) c-QSAR models (QSAR-21): part II: corrosion potential.

This is part II of an in silico investigation of chemical-induced eye injury that was conducted at FDA's CFSAN. Serious eye damage caused by chemical ...

Estimation of the chemical-induced eye injury using a weight-of-evidence (WoE) battery of 21 artificial neural network (ANN) c-QSAR models (QSAR-21): part I: irritation potential.

Evaluation of potential chemical-induced eye injury through irritation and corrosion is required to ensure occupational and consumer safety for indust...