Regional context-based recalibration network for cataract recognition in AS-OCT

X Zhang, Z Xiao, B Yang, X Wu, R Higashita, J Liu - Pattern Recognition, 2024 - Elsevier
Deep convolutional neural networks (CNNs) have been widely applied to cataract
recognition tasks and have achieved promising results. However, most existing methods …

Mixed‐decomposed convolutional network: A lightweight yet efficient convolutional neural network for ocular disease recognition

X Zhang, X Wu, Z Xiao, L Hu, Z Qiu… - CAAI Transactions …, 2024 - Wiley Online Library
Eye health has become a global health concern and attracted broad attention. Over the
years, researchers have proposed many state‐of‐the‐art convolutional neural networks …

Efficient pyramid channel attention network for pathological myopia recognition with pretraining-and-finetuning

X Zhang, J Zhao, Y Li, H Wu, X Zhou, J Liu - Artificial Intelligence in …, 2024 - Elsevier
Pathological myopia (PM) is the leading ocular disease for impaired vision worldwide.
Clinically, the characteristics of pathology distribution in PM are global-local on the fundus …

Incorporating medical domain knowledge into data-driven method: A vessel attention guided multi-granularity network for automatic cataract classification

X Xu, L Zhao, J Li, L Li - Expert Systems with Applications, 2024 - Elsevier
Early cataract screening is essential to help patients prevent irreversible vision loss. Existing
data-driven methods can automatically extract deep fundus features for automatic cataract …

Loss values of style transfer from UBM to AS-OCT images for plateau iris classification

N Kaothanthong, B Wanichwecharungruang… - Scientific Reports, 2024 - nature.com
Ultrasound biomicroscopy (UBM) is the standard for diagnosing plateau iris, but its limited
accessibility in routine clinical settings presents challenges. While anterior segment optical …

Multi-style spatial attention module for cortical cataract classification in AS-OCT image with supervised contrastive learning

Z Xiao, X Zhang, B Zheng, Y Guo, R Higashita… - Computer Methods and …, 2024 - Elsevier
Abstract Background and Objective: Precise cortical cataract (CC) classification plays a
significant role in early cataract intervention and surgery. Anterior segment optical …

Retinopathy identification in optical coherence tomography images based on a novel class-aware contrastive learning approach

Y Li, C Huang, B Zheng, Z Zheng, H Tang, S Ju… - Knowledge-Based …, 2024 - Elsevier
Computer vision technology has played a significant role in the advancement of retinal
disease detection based on optical coherence tomography (OCT) images; however, it …

Domain Adaptative Retinal Image Quality Assessment with Knowledge Distillation Using Competitive Teacher-Student Network

Y Lin, H Li, H Liu, H Shu, Z Li, Y Hu… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
Retinal image quality assessment (RIQA) is essential for retinal examinations, as it impacts
the certainty of both manual and intelligent diagnosis. Unfortunately, domain shifts, such as …

MGCNet: Multi-granularity cataract classification using denoising diffusion probabilistic model

Q Wang, H Sun, Y Feng, Z Dong, C Bai - Displays, 2024 - Elsevier
As a first step in treatment, accurate automatic cataract diagnosis is of vital importance. The
classification and grading of slit-lamp images can realize the cataract type and severity …

Guest editorial: Explainability of machine learning in methodologies and applications

Z Li, H Unger, K Kyamakya - Knowledge-Based Systems, 2023 - Elsevier
Guest editorial: Explainability of machine learning in methodologies and applications -
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