AIMC Topic: Photography
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A multi-feature deep learning system to enhance glaucoma severity diagnosis with high accuracy and fast speed.
Journal of biomedical informatics
Oct 21, 2022
Glaucoma is the leading cause of irreversible blindness, and the early detection and timely treatment are essential for glaucoma management. However, due to the interindividual variability in the characteristics of glaucoma onset, a single feature is...
We got nuts! use deep neural networks to classify images of common edible nuts.
Nutrition and health
Jul 21, 2022
BACKGROUND: Nuts are nutrient-dense foods that contribute to healthier eating. Food image datasets enable artificial intelligence (AI) powered diet-tracking apps to help people monitor daily eating patterns.
A deep learning model established for evaluating lid margin signs with colour anterior segment photography.
Eye (London, England)
Jun 23, 2022
OBJECTIVES: To evaluate the feasibility of applying a deep learning model to identify lid margin signs from colour anterior segment photography.
A Deep Learning Framework for Earlier Prediction of Diabetic Retinopathy from Fundus Photographs.
BioMed research international
Jun 7, 2022
Diabetic patients can also be identified immediately utilizing retinopathy photos, but it is a challenging task. The blood veins visible in fundus photographs are used in several disease diagnosis approaches. We sought to replicate the findings publi...
Research on Multicamera Photography Image Art in BERT Motion Based on Deep Learning Mode.
Computational intelligence and neuroscience
Apr 27, 2022
In order to improve the artistic expression effect of photographic images, this article combines the deep learning model to conduct multicamera photographic image art research in BERT motion. Moreover, this article analyzes the external parameter err...
Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient Optimization.
IEEE transactions on cybernetics
Mar 11, 2022
Typical image aesthetics assessment (IAA) is modeled for the generic aesthetics perceived by an "average" user. However, such generic aesthetics models neglect the fact that users' aesthetic preferences vary significantly depending on their unique pr...
Measurement of Body Surface Area for Psoriasis Using U-net Models.
Computational and mathematical methods in medicine
Feb 10, 2022
During the evaluation of body surface area (BSA), precise measurement of psoriasis is crucial for assessing disease severity and modulating treatment strategies. Physicians usually evaluate patients subjectively through direct visual evaluation. Howe...
Deep learning-based classification of retinal vascular diseases using ultra-widefield colour fundus photographs.
BMJ open ophthalmology
Feb 4, 2022
OBJECTIVE: To assess the ability of a deep learning model to distinguish between diabetic retinopathy (DR), sickle cell retinopathy (SCR), retinal vein occlusions (RVOs) and healthy eyes using ultra-widefield colour fundus photography (UWF-CFP).
A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis.
PloS one
Feb 2, 2022
Understanding long-term trends in marine ecosystems requires accurate and repeatable counts of fishes and other aquatic organisms on spatial and temporal scales that are difficult or impossible to achieve with diver-based surveys. Long-term, spatiall...
Multiple instance learning detects peripheral arterial disease from high-resolution color fundus photography.
Scientific reports
Jan 26, 2022
Peripheral arterial disease (PAD) is caused by atherosclerosis and is a common disease of the elderly leading to excess morbidity and mortality. Early PAD diagnosis is important, as the only available causal therapy is addressing risk factors like sm...
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