Machine learning for cataract classification/grading on ophthalmic imaging modalities: a survey
Cataracts are the leading cause of visual impairment and blindness globally. Over the years,
researchers have achieved significant progress in developing state-of-the-art machine …
researchers have achieved significant progress in developing state-of-the-art machine …
A transformer-based knowledge distillation network for cortical cataract grading
Cortical cataract, a common type of cataract, is particularly difficult to be diagnosed
automatically due to the complex features of the lesions. Recently, many methods based on …
automatically due to the complex features of the lesions. Recently, many methods based on …
Mixed pyramid attention network for nuclear cataract classification based on anterior segment OCT images
Nuclear cataract (NC) is a leading ocular disease globally for blindness and vision
impairment. NC patients can improve their vision through cataract surgery or slow the …
impairment. NC patients can improve their vision through cataract surgery or slow the …
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 …
Mixed‐decomposed convolutional network: A lightweight yet efficient convolutional neural network for ocular disease recognition
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 …
years, researchers have proposed many state‐of‐the‐art convolutional neural networks …
Multi-style spatial attention module for cortical cataract classification in AS-OCT image with supervised contrastive learning
Abstract Background and Objective: Precise cortical cataract (CC) classification plays a
significant role in early cataract intervention and surgery. Anterior segment optical …
significant role in early cataract intervention and surgery. Anterior segment optical …
A ranking-based multi-scale feature calibration network for nuclear cataract grading in AS-OCT images
Abstract Anterior Segment Optical Coherence Tomography (AS-OCT) is an important
imaging technique for the grading of nuclear cataract. However, due to the complex …
imaging technique for the grading of nuclear cataract. However, due to the complex …
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 …
classification and grading of slit-lamp images can realize the cataract type and severity …
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 …
A novel local-global spatial attention network for cortical cataract classification in as-oct
Cataracts are the leading causes of reversible blindness and visual impairment. Cortical
cataract (CC) is one of the most common cataract types. Early intervention is a useful way to …
cataract (CC) is one of the most common cataract types. Early intervention is a useful way to …