AIMC Topic: Tomography, Optical Coherence
Clear Filters Showing 111 to 120 of 807 articles
An automatic glaucoma grading method based on attention mechanism and EfficientNet-B3 network.
PloS one
Aug 16, 2024
Glaucoma infection is rapidly spreading globally and the number of glaucoma patients is expected to exceed 110 million by 2040. Early identification and detection of glaucoma is particularly important as it can easily lead to irreversible vision dama...
Disease Activity and Therapeutic Response to Pegcetacoplan for Geographic Atrophy Identified by Deep Learning-Based Analysis of OCT.
Ophthalmology
Aug 14, 2024
PURPOSE: To quantify morphological changes of the photoreceptors (PRs) and retinal pigment epithelium (RPE) layers under pegcetacoplan therapy in geographic atrophy (GA) using deep learning-based analysis of OCT images.
Wavelet-based selection-and-recalibration network for Parkinson's disease screening in OCT images.
Computer methods and programs in biomedicine
Aug 12, 2024
BACKGROUND AND OBJECTIVE: Parkinson's disease (PD) is one of the most prevalent neurodegenerative brain diseases worldwide. Therefore, accurate PD screening is crucial for early clinical intervention and treatment. Recent clinical research indicates ...
Metadata-enhanced contrastive learning from retinal optical coherence tomography images.
Medical image analysis
Aug 10, 2024
Deep learning has potential to automate screening, monitoring and grading of disease in medical images. Pretraining with contrastive learning enables models to extract robust and generalisable features from natural image datasets, facilitating label-...
Progressive Feature Fusion Attention Dense Network for Speckle Noise Removal in OCT Images.
IEEE/ACM transactions on computational biology and bioinformatics
Aug 9, 2024
Although deep learning for Big Data analytics has achieved promising results in the field of optical coherence tomography (OCT) image denoising, the low recognition rate caused by complex noise distribution and a large number of redundant features is...
Soul: An OCTA dataset based on Human Machine Collaborative Annotation Framework.
Scientific data
Aug 2, 2024
Branch retinal vein occlusion (BRVO) is the most prevalent retinal vascular disease that constitutes a threat to vision due to increased venous pressure caused by venous effluent in the space, leading to impaired visual function. Optical Coherence To...
Development of machine learning models for fractional flow reserve prediction in angiographically intermediate coronary lesions.
Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
Aug 1, 2024
BACKGROUND: Fractional flow reserve (FFR) represents the gold standard in guiding the decision to proceed or not with coronary revascularization of angiographically intermediate coronary lesion (AICL). Optical coherence tomography (OCT) allows to car...
Humans
Software
Decision Support Techniques
Coronary Stenosis
Fractional Flow Reserve, Myocardial
Coronary Vessels
Severity of Illness Index
Plaque, Atherosclerotic
Cardiac Catheterization
Predictive Value of Tests
Tomography, Optical Coherence
Coronary Angiography
Coronary Artery Disease
Supervised Machine Learning
Aged
Male
Middle Aged
Databases, Factual
Female
Reproducibility of Results
Improved microvascular imaging with optical coherence tomography using 3D neural networks and a channel attention mechanism.
Scientific reports
Aug 1, 2024
Skin microvasculature is vital for human cardiovascular health and thermoregulation, but its imaging and analysis presents significant challenges. Statistical methods such as speckle decorrelation in optical coherence tomography angiography (OCTA) of...
Partial coherence enhances parallelized photonic computing.
Nature
Jul 31, 2024
Advancements in optical coherence control have unlocked many cutting-edge applications, including long-haul communication, light detection and ranging (LiDAR) and optical coherence tomography. Prevailing wisdom suggests that using more coherent light...
[Use of artificial intelligence for recognition of biomarkers in intermediate age-related macular degeneration].
Die Ophthalmologie
Jul 31, 2024
Advances in imaging and artificial intelligence (AI) have revolutionized the detection, quantification and monitoring for the clinical assessment of intermediate age-related macular degeneration (iAMD). The iAMD incorporates a broad spectrum of manif...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31964
- Neural Networks, Computer 30201
- Algorithms 27375
- Deep Learning 26880
- Artificial Intelligence 24817
- Robotics 13382
- Image Processing, Computer-Assisted 9730
- Retrospective Studies 9328
- Magnetic Resonance Imaging 6341
- Reproducibility of Results 5670
- Tomography, X-Ray Computed 4863
- Support Vector Machine 4762
- Computational Biology 4328
- Brain 4125
- Computer Simulation 3932
Recent Journals
- Scientific reports 6689
- Sensors (Basel, Switzerland) 4794
- PloS one 4186
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1915
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1167
- Journal of chemical information and modeling 1059
- Nature communications 1029
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 872
- Journal of medical Internet research 853
- Briefings in bioinformatics 853