AIMC Topic: Eye
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A Driver Gaze Estimation Method Based on Deep Learning.
Sensors (Basel, Switzerland)
May 23, 2022
Car crashes are among the top ten leading causes of death; they could mainly be attributed to distracted drivers. An advanced driver-assistance technique (ADAT) is a procedure that can notify the driver about a dangerous scenario, reduce traffic cras...
Motion Fatigue State Detection Based on Neural Networks.
Computational intelligence and neuroscience
Mar 15, 2022
Aiming at the problem of fatigue state detection at the back of sports, a cascade deep learning detection system structure is designed, and a convolutional neural network fatigue state detection model based on multiscale pooling is proposed. Firstly,...
Detection of eye contact with deep neural networks is as accurate as human experts.
Nature communications
Dec 14, 2020
Eye contact is among the most primary means of social communication used by humans. Quantification of eye contact is valuable as a part of the analysis of social roles and communication skills, and for clinical screening. Estimating a subject's looki...
Mitigation of ocular artifacts for EEG signal using improved earth worm optimization-based neural network and lifting wavelet transform.
Computer methods in biomechanics and biomedical engineering
Nov 27, 2020
An Electroencephalogram (EEG) is often tarnished by various categories of artifacts. Numerous efforts have been taken to improve its quality by eliminating the artifacts. The EEG involves the biological artifacts (ocular artifacts, ECG and EMG artifa...
Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine.
Journal of medical Internet research
Aug 17, 2020
BACKGROUND: Rapid access to evidence is crucial in times of an evolving clinical crisis. To that end, we propose a novel approach to answer clinical queries, termed rapid meta-analysis (RMA). Unlike traditional meta-analysis, RMA balances a quick tim...
Text Processing for Detection of Fungal Ocular Involvement in Critical Care Patients: Cross-Sectional Study.
Journal of medical Internet research
Aug 14, 2020
BACKGROUND: Fungal ocular involvement can develop in patients with fungal bloodstream infections and can be vision-threatening. Ocular involvement has become less common in the current era of improved antifungal therapies. Retrospectively determining...
The usefulness of the Deep Learning method of variational autoencoder to reduce measurement noise in glaucomatous visual fields.
Scientific reports
May 12, 2020
The aim of the study was to investigate the usefulness of processing visual field (VF) using a variational autoencoder (VAE). The training data consisted of 82,433 VFs from 16,836 eyes. Testing dataset 1 consisted of test-retest VFs from 104 eyes wit...
Cellular and Molecular Probing of Intact Human Organs.
Cell
Feb 13, 2020
Optical tissue transparency permits scalable cellular and molecular investigation of complex tissues in 3D. Adult human organs are particularly challenging to render transparent because of the accumulation of dense and sturdy molecules in decades-age...
Ophthalmic diagnosis using deep learning with fundus images - A critical review.
Artificial intelligence in medicine
Nov 22, 2019
An overview of the applications of deep learning for ophthalmic diagnosis using retinal fundus images is presented. We describe various retinal image datasets that can be used for deep learning purposes. Applications of deep learning for segmentation...
Robust and Accurate Hand-Eye Calibration Method Based on Schur Matric Decomposition.
Sensors (Basel, Switzerland)
Oct 16, 2019
To improve the accuracy and robustness of hand-eye calibration, a hand-eye calibration method based on Schur matric decomposition is proposed in this paper. The accuracy of these methods strongly depends on the quality of observation data. Therefore,...
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