AIMC Topic: Photography

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A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre.

Nature biomedical engineering Oct 12, 2020
Retinal blood vessels provide information on the risk of cardiovascular disease (CVD). Here, we report the development and validation of deep-learning models for the automated measurement of retinal-vessel calibre in retinal photographs, using divers...
Retina Image Interpretation, Computer-Assisted Datasets as Topic Coronary Disease Glycated Hemoglobin Cholesterol Stroke Myocardial Infarction Photography Retinal Vessels Hypertensive Retinopathy Aged, 80 and over Adult Male Middle Aged Retrospective Studies Female Risk Factors Aged Humans Risk Assessment Deep Learning Body Mass Index Blood Pressure
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Computer-aided recognition of myopic tilted optic disc using deep learning algorithms in fundus photography.

BMC ophthalmology Oct 9, 2020
BACKGROUND: It is necessary to consider myopic optic disc tilt as it seriously impacts normal ocular parameters. However, ophthalmologic measurements are within inter-observer variability and time-consuming to get. This study aimed to develop and eva...
Algorithms Computers Deep Learning Optic Disk Photography Humans
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Deep-learning-based enhanced optic-disc photography.

PloS one Oct 1, 2020
Optic-disc photography (ODP) has proven to be very useful for optic nerve evaluation in glaucoma. In real clinical practice, however, limited patient cooperation, small pupils, or media opacities can limit the performance of ODP. The purpose of this ...
Limit of Detection Optic Disk Photography Humans Glaucoma Deep Learning Image Processing, Computer-Assisted
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Bruise dating using deep learning.

Journal of forensic sciences Sep 29, 2020
The bruise dating can have important medicolegal implications in family violence and violence against women cases. However, studies show that the medical specialist has 50% accuracy in classifying a bruise by age, mainly due to the variability of the...
Contusions Image Processing, Computer-Assisted Forensic Medicine Datasets as Topic Photography Female Aged Young Adult Adult Humans Sensitivity and Specificity Male Neural Networks, Computer Deep Learning Time Factors
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Deep learning can generate traditional retinal fundus photographs using ultra-widefield images via generative adversarial networks.

Computer methods and programs in biomedicine Sep 16, 2020
BACKGROUND AND OBJECTIVE: Retinal imaging has two major modalities, traditional fundus photography (TFP) and ultra-widefield fundus photography (UWFP). This study demonstrates the feasibility of a state-of-the-art deep learning-based domain transfer ...
Humans Deep Learning Fundus Oculi Retina Diagnostic Techniques, Ophthalmological Photography
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A deep learning approach in diagnosing fungal keratitis based on corneal photographs.

Scientific reports Sep 2, 2020
Fungal keratitis (FK) is the most devastating and vision-threatening microbial keratitis, but clinical diagnosis a great challenge. This study aimed to develop and verify a deep learning (DL)-based corneal photograph model for diagnosing FK. Corneal ...
Sensitivity and Specificity Cornea Deep Learning Optical Imaging Humans Photography Corneal Ulcer Eye Infections, Fungal
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Toward automated severe pharyngitis detection with smartphone camera using deep learning networks.

Computers in biology and medicine Aug 20, 2020
PURPOSE: Severe pharyngitis is frequently associated with inflammations caused by streptococcal pharyngitis, which can cause immune-mediated and post-infectious complications. The recent global pandemic of coronavirus disease (COVID-19) encourages th...
Photography Pneumonia, Viral Pharyngitis Pharynx Telemedicine Image Interpretation, Computer-Assisted Humans Pandemics COVID-19 Deep Learning Smartphone Coronavirus Infections
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Machine learning for precision dermatology: Advances, opportunities, and outlook.

Journal of the American Academy of Dermatology Jul 6, 2020
Skin Skin Diseases Dermatology Photography Gene Expression Profiling Big Data Humans Image Processing, Computer-Assisted Machine Learning Genomics Precision Medicine
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Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning.

Journal of hematology & oncology Jul 3, 2020
Due to acromegaly's insidious onset and slow progression, its diagnosis is usually delayed, thus causing severe complications and treatment difficulty. A convenient screening method is imperative. Based on our previous work, we herein developed a new...
Humans Algorithms Female Adult Sensitivity and Specificity Male Middle Aged Severity of Illness Index Photography Diagnostic Self Evaluation Cephalometry Diagnosis, Computer-Assisted Datasets as Topic Deep Learning Face Image Processing, Computer-Assisted Acromegaly Models, Theoretical
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Prospective, comparative evaluation of a deep neural network and dermoscopy in the diagnosis of onychomycosis.

PloS one Jun 11, 2020
BACKGROUND: Onychomycosis is the most common nail disorder and is associated with diagnostic challenges. Emerging non-invasive, real-time techniques such as dermoscopy and deep convolutional neural networks have been proposed for the diagnosis of thi...
Computer Systems Predictive Value of Tests Dermatologists Hydroxides Male Neural Networks, Computer Onychomycosis Middle Aged Algorithms Diagnosis, Computer-Assisted Potassium Compounds Prospective Studies Dermoscopy Humans Deep Learning Mycological Typing Techniques Young Adult Female Photography Foot Dermatoses Adult Diagnostic Errors
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