Regional context-based recalibration network for cataract recognition in AS-OCT
Deep convolutional neural networks (CNNs) have been widely applied to cataract
recognition tasks and have achieved promising results. However, most existing methods …
recognition tasks and have achieved promising results. However, most existing methods …
Explainable machine learning framework for cataracts recognition using visual features
Cataract is the leading ocular disease of blindness and visual impairment globally. Deep
neural networks (DNNs) have achieved promising cataracts recognition performance based …
neural networks (DNNs) have achieved promising cataracts recognition performance based …
DMINet: A lightweight dual-mixed channel-independent network for cataract recognition
X Wu, Y Chen, Q Yan, Y Zhao, J Zhao… - … Joint Conference on …, 2023 - ieeexplore.ieee.org
Cataracts are the leading cause of visual impairment and blindness globally attracting
abroad attention from society. Over the years researchers have developed many state-of-the …
abroad attention from society. Over the years researchers have developed many state-of-the …
Low-cost system for identification of cataract maturity using LeNet CNN
RPMD Labib, DRM Syahputra… - AIP Conference …, 2024 - pubs.aip.org
Cataracts can be removed through a surgical procedure when they reach the mature stage.
Therefore, it is necessary to identify the maturity of the cataract. This paper presents the …
Therefore, it is necessary to identify the maturity of the cataract. This paper presents the …