Sep 20, 2021 · In this paper, we propose and validate a standardized, grader-independent, real-time feedback system for automatic quality assessment of retinal OCT images.
In this paper, we propose and validate a standardized, grader-independent, real-time feedback system for automatic quality assessment of retinal OCT images.
Feb 1, 2022 · Automatic quality analysis of retinal optical coherence tomography images (AQUA-OCT). •. Analysis of centering, image and signal quality as well ...
Modular deep neural networks for automatic quality control of retinal optical coherence tomography scans ... Authors: Josef Kauer-Bonin; Sunil K. Yadav; Ingeborg ...
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This study first presents an OCT image quality assessment (OCT-IQA) system, capable of automatic classification based on signal completeness, location, and ...
Sep 5, 2023 · A new system based on binary Deep Learning (DL) convolutional neural networks has been developed to recognize specific retinal abnormality signs on Optical ...
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The aim of this work is to improve the capability of the AQuA quality classifier to generalize to new data, by developing a convolutional neural network ...
Jun 7, 2023 · In this paper, we propose an enhanced optical coherence tomography (EOCT) model to classify retinal OCT based on modified ResNet (50) and random forest ...
To remove these artefacts from the OCT volumes, we employ a deep learning-based quality check method introduced and described in detail by Kauer et al. (2019) .
Mar 26, 2022 · A deep learning framework with high-resolution representation was developed to achieve image quality enhancement for OCT images.