AIMC Topic: Retina
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Selection of pre-trained weights for transfer learning in automated cytomegalovirus retinitis classification.
Scientific reports
Jul 10, 2024
Cytomegalovirus retinitis (CMVR) is a significant cause of vision loss. Regular screening is crucial but challenging in resource-limited settings. A convolutional neural network is a state-of-the-art deep learning technique to generate automatic diag...
A hybrid model for the detection of retinal disorders using artificial intelligence techniques.
Biomedical physics & engineering express
Jul 10, 2024
The prevalence of vision impairment is increasing at an alarming rate. The goal of the study was to create an automated method that uses optical coherence tomography (OCT) to classify retinal disorders into four categories: choroidal neovascularizati...
ConKeD: multiview contrastive descriptor learning for keypoint-based retinal image registration.
Medical & biological engineering & computing
Jul 6, 2024
Retinal image registration is of utmost importance due to its wide applications in medical practice. In this context, we propose ConKeD, a novel deep learning approach to learn descriptors for retinal image registration. In contrast to current regist...
Enhancing stroke risk and prognostic timeframe assessment with deep learning and a broad range of retinal biomarkers.
Artificial intelligence in medicine
Jun 28, 2024
Stroke stands as a major global health issue, causing high death and disability rates and significant social and economic burdens. The effectiveness of existing stroke risk assessment methods is questionable due to their use of inconsistent and varyi...
Association of retinal image-based, deep learning cardiac BioAge with telomere length and cardiovascular biomarkers.
Optometry and vision science : official publication of the American Academy of Optometry
Jun 28, 2024
SIGNIFICANCE: Our retinal image-based deep learning (DL) cardiac biological age (BioAge) model could facilitate fast, accurate, noninvasive screening for cardiovascular disease (CVD) in novel community settings and thus improve outcome with those wit...
Diagnostic application in streptozotocin-induced diabetic retinopathy rats: A study based on Raman spectroscopy and machine learning.
Journal of biophotonics
Jun 21, 2024
Vision impairment caused by diabetic retinopathy (DR) is often irreversible, making early-stage diagnosis imperative. Raman spectroscopy emerges as a powerful tool, capable of providing molecular fingerprints of tissues. This study employs RS to dete...
A Microvascular Segmentation Network Based on Pyramidal Attention Mechanism.
Sensors (Basel, Switzerland)
Jun 20, 2024
The precise segmentation of retinal vasculature is crucial for the early screening of various eye diseases, such as diabetic retinopathy and hypertensive retinopathy. Given the complex and variable overall structure of retinal vessels and their delic...
RDLR: A Robust Deep Learning-Based Image Registration Method for Pediatric Retinal Images.
Journal of imaging informatics in medicine
Jun 14, 2024
Retinal diseases stand as a primary cause of childhood blindness. Analyzing the progression of these diseases requires close attention to lesion morphology and spatial information. Standard image registration methods fail to accurately reconstruct pe...
HTC-retina: A hybrid retinal diseases classification model using transformer-Convolutional Neural Network from optical coherence tomography images.
Computers in biology and medicine
Jun 9, 2024
Retinal diseases are among nowadays major public health issues, deservedly needing advanced computer-aided diagnosis. We propose a hybrid model for multi label classification, whereby seven retinal diseases are automatically classified from Optical C...
Stitched vision transformer for age-related macular degeneration detection using retinal optical coherence tomography images.
PloS one
Jun 5, 2024
Age-related macular degeneration (AMD) is an eye disease that leads to the deterioration of the central vision area of the eye and can gradually result in vision loss in elderly individuals. Early identification of this disease can significantly impa...
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