AIMC Topic: Tomography, Optical Coherence
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Diagnosis of central serous chorioretinopathy by deep learning analysis of en face images of choroidal vasculature: A pilot study.
PloS one
Jun 18, 2021
PURPOSE: To diagnose central serous chorioretinopathy (CSC) by deep learning (DL) analyses of en face images of the choroidal vasculature obtained by optical coherence tomography (OCT) and to analyze the regions of interest for the DL from heatmaps.
Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression.
IEEE transactions on bio-medical engineering
Jun 17, 2021
OBJECTIVE: Glaucoma is the second leading cause of blindness worldwide. Glaucomatous progression can be easily monitored by analyzing the degeneration of retinal ganglion cells (RGCs). Many researchers have screened glaucoma by measuring cup-to-disc ...
A column-based deep learning method for the detection and quantification of atrophy associated with AMD in OCT scans.
Medical image analysis
Jun 12, 2021
The objective quantification of retinal atrophy associated with age-related macular degeneration (AMD) is required for clinical diagnosis, follow-up, treatment efficacy evaluation, and clinical research. Spectral Domain Optical Coherence Tomography (...
Automated classification of coronary atherosclerotic plaque in optical frequency domain imaging based on deep learning.
Atherosclerosis
Jun 7, 2021
BACKGROUND AND AIMS: We developed a deep learning (DL) model for automated atherosclerotic plaque categorization using optical frequency domain imaging (OFDI) and performed quantitative and visual evaluations.
A deep learning-based model for characterization of atherosclerotic plaque in coronary arteries using optical coherence tomography images.
Medical physics
May 24, 2021
PURPOSE: Coronary artery events are mainly associated with atherosclerosis in adult population, which is recognized as accumulation of plaques in arterial wall tissues. Optical Coherence Tomography (OCT) is a light-based imaging system used in cardio...
Deep Learning in Biomedical Optics.
Lasers in surgery and medicine
May 20, 2021
This article reviews deep learning applications in biomedical optics with a particular emphasis on image formation. The review is organized by imaging domains within biomedical optics and includes microscopy, fluorescence lifetime imaging, in vivo mi...
Artificial intelligence extension of the OSCAR-IB criteria.
Annals of clinical and translational neurology
May 19, 2021
Artificial intelligence (AI)-based diagnostic algorithms have achieved ambitious aims through automated image pattern recognition. For neurological disorders, this includes neurodegeneration and inflammation. Scalable imaging technology for big data ...
Detection of oedema on optical coherence tomography images using deep learning model trained on noisy clinical data.
Acta ophthalmologica
May 15, 2021
PURPOSE: To meet the demands imposed by the continuing growth of the Age-related macular degeneration (AMD) patient population, automation of follow-ups by detecting retinal oedema using deep learning might be a viable approach. However, preparing an...
Artificial intelligence for classifying uncertain images by humans in determining choroidal vascular running pattern and comparisons with automated classification between artificial intelligence.
PloS one
May 14, 2021
PURPOSE: Abnormalities of the running pattern of choroidal vessel have been reported in eyes with pachychoroid diseases. However, it is difficult for clinicians to judge the running pattern with high reproducibility. Thus, the purpose of this study w...
Microparticle-Based Biochemical Sensing Using Optical Coherence Tomography and Deep Learning.
ACS nano
May 7, 2021
Advancing continuous health monitoring beyond vital signs to biochemistry will revolutionize personalized medicine. Herein, we report a biosensing platform to achieve remote biochemical monitoring using microparticle-based biosensors and optical cohe...
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