AIMC Topic: Tomography, Optical Coherence
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Multimodal Imaging in Diabetic Macular Edema.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Jan 29, 2017
Throughout ophthalmic history it has been shown that progress has gone hand in hand with technological breakthroughs. In the past, fluorescein angiography and fundus photographs were the most commonly used imaging modalities in the management of diab...
Learning ECOC Code Matrix for Multiclass Classification with Application to Glaucoma Diagnosis.
Journal of medical systems
Jan 21, 2016
Classification of different mechanisms of angle closure glaucoma (ACG) is important for medical diagnosis. Error-correcting output code (ECOC) is an effective approach for multiclass classification. In this study, we propose a new ensemble learning m...
A bifurcation identifier for IV-OCT using orthogonal least squares and supervised machine learning.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Sep 21, 2015
Intravascular optical coherence tomography (IV-OCT) is an in-vivo imaging modality based on the intravascular introduction of a catheter which provides a view of the inner wall of blood vessels with a spatial resolution of 10-20 μm. Recent studies in...
Humans
Reproducibility of Results
Sensitivity and Specificity
Data Interpretation, Statistical
Radiography
Pattern Recognition, Automated
Image Enhancement
Coronary Artery Disease
Tomography, Optical Coherence
Supervised Machine Learning
Image Interpretation, Computer-Assisted
Least-Squares Analysis
Translating the machine; An assessment of clinician understanding of ophthalmological artificial intelligence outputs.
International journal of medical informatics
Sep 1, 2025
INTRODUCTION: Advances in artificial intelligence offer the promise of automated analysis of optical coherence tomography (OCT) scans to detect ocular complications from anticancer drug therapy. To explore how such AI outputs are interpreted in clini...
Diagnostic report generation for macular diseases by natural language processing algorithms.
The British journal of ophthalmology
Aug 20, 2025
AIMS: To investigate rule-based and deep learning (DL)-based methods for the automatically generating natural language diagnostic reports for macular diseases.
Optical coherence tomography angiography as a tool for diagnosis and monitoring of sickle cell related eye disease: a systematic review and meta-analysis.
Eye (London, England)
Aug 1, 2025
Sickle cell retinopathy (SCR) is an ocular manifestation of sickle cell disease (SCD). In SCR abnormal sickling of erythrocytes is associated with sight-threatening complications such as neovascularisation, vitreous haemorrhage, maculopathy and retin...
Deep learning generalization study on optical coherence tomography image denoising.
Physics in medicine and biology
Jul 9, 2025
Noise is a key factor determining imaging quality for optical coherence tomography (OCT). Although deep learning has emerged as an effective denoising method, its generalization capability remains limited, especially when test noise levels deviate fr...
Fundus Refraction Offset as a Personalized Biomarker for 12-Year Risk of Retinal Detachment.
Investigative ophthalmology & visual science
Jul 1, 2025
PURPOSE: The purpose of this study was to investigate the potential of a novel anatomical metric of ametropia-fundus refraction offset (FRO)-in stratifying the risk of retinal detachment (RD) or breaks, beyond the influence of risk factors including ...
Equitable Deep Learning for Diabetic Retinopathy Detection Using Multidimensional Retinal Imaging With Fair Adaptive Scaling.
Translational vision science & technology
Jul 1, 2025
PURPOSE: To investigate the fairness of existing deep models for diabetic retinopathy (DR) detection and introduce an equitable model to reduce group performance disparities.
Towards Investigating Residual Hearing Loss: Quantification of Fibrosis in a Novel Cochlear OCT Dataset.
IEEE transactions on bio-medical engineering
Jul 1, 2025
OBJECTIVE: Cochlear implants (CIs) are bionic prostheses that restores hearing via electrical stimulation of the auditory nerve. Hybrid CIs, which use electroacoustic stimulation (EAS), combine residual low-frequency acoustic hearing with CI electric...
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