AIMC Topic: Eye

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Person-Specific Gaze Estimation from Low-Quality Webcam Images.

Sensors (Basel, Switzerland) Apr 20, 2023
Gaze estimation is an established research problem in computer vision. It has various applications in real life, from human-computer interactions to health care and virtual reality, making it more viable for the research community. Due to the signifi...
Computer Systems Virtual Reality Eye Humans Neural Networks, Computer
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Deep Learning-Based Classification of Subtypes of Primary Angle-Closure Disease With Anterior Segment Optical Coherence Tomography.

Journal of glaucoma Mar 3, 2023
PRCIS: We developed a deep learning-based classifier that can discriminate primary angle closure suspects (PACS), primary angle closure (PAC)/primary angle closure glaucoma (PACG), and also control eyes with open angle with acceptable accuracy.
Glaucoma, Angle-Closure Gonioscopy Tomography, Optical Coherence Eye Adult Intraocular Pressure Female Middle Aged Male Aged Deep Learning Humans Glaucoma
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Early detection of visual impairment in young children using a smartphone-based deep learning system.

Nature medicine Jan 26, 2023
Early detection of visual impairment is crucial but is frequently missed in young children, who are capable of only limited cooperation with standard vision tests. Although certain features of visually impaired children, such as facial appearance and...
Infant Deep Learning Female Male Smartphone Vision Disorders Eye Child, Preschool Child Humans Health Personnel
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Vision-Based Eye Image Classification for Ophthalmic Measurement Systems.

Sensors (Basel, Switzerland) Dec 29, 2022
The accuracy and the overall performances of ophthalmic instrumentation, where specific analysis of eye images is involved, can be negatively influenced by invalid or incorrect frames acquired during everyday measurements of unaware or non-collaborat...
Algorithms Deep Learning Eye Humans Machine Learning
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Automated Secchi disk depth measurement based on artificial intelligence object recognition.

Marine pollution bulletin Nov 23, 2022
Water transparency affects the degree of sunlight penetration in water, which is important to many water quality processes. It can be visually measured by lowering a Secchi disk (SD) into water and recording its disappearance depth - the Secchi disk ...
Circadian Rhythm Eye Humans Algorithms Eutrophication Artificial Intelligence
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How Artificial Intelligence Aspires to Change the Diagnostic and Treatment Paradigm in Eyes With Age-Related Macular Degeneration.

Ophthalmic surgery, lasers & imaging retina Sep 1, 2022
Eye Artificial Intelligence Macular Degeneration Humans
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An automated auroral detection system using deep learning: real-time operation in Tromsø, Norway.

Scientific reports May 31, 2022
The activity of citizen scientists who capture images of aurora borealis using digital cameras has recently been contributing to research regarding space physics by professional scientists. Auroral images captured using digital cameras not only fasci...
Eye Deep Learning Norway Artificial Intelligence Software Humans
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Arterial Hypertension and the Hidden Disease of the Eye: Diagnostic Tools and Therapeutic Strategies.

Nutrients May 25, 2022
Hypertension is a major cardiovascular risk factor that is responsible for a heavy burden of morbidity and mortality worldwide. A critical aspect of cardiovascular risk estimation in hypertensive patients depends on the assessment of hypertension-med...
Humans Artificial Intelligence Risk Factors Eye Hypertension Retinal Vessels
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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...
Deep Learning Eye Head Movements Eye Movements Fixation, Ocular
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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,...
Sports Eye Mouth Athletes Deep Learning Face Humans Fatigue Motion Neural Networks, Computer
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