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5 days ago WEB Aug 10, 2022 · Semi-supervised classification based on attention mechanism can effectively improve the classification performance of the model, and attain preferable …
› Semi‐supervised classificatio…
The fundus is mostly manifested as retinal exudation and edema, …
6 days ago WEB The global and spatial features of fundus images are extracted by using CNN and GCN, and attention mechanism is introduced to enhance the adaptability of GCN to topology …
3 days ago WEB Jun 15, 2022 · 1.1. Classification of Fundus Images. Most fundus image classification challenges nowadays are focused on identifying a single disease with or without …
› DOI: 10.3390/mi13060947
› Published: 2022/06
› Publication: Micromachines (Basel). 2022 Jun; 13(6)
1 week ago WEB In ophthalmology, fundus image analysis is an efficient way to avoid blindness. Existing deep learning methods with fundus images fail to attain high classification …
1 week ago WEB Jan 18, 2024 · Analyzing fundus images with deep learning techniques is promising for screening systematic diseases. ... or 66.7–100%. This classification method has …
1 week ago WEB Jan 2, 2023 · At present, the research on fundus image classification still has the following challenges. First, the classification of multilabel fundus images is a common …
1 day ago WEB Sep 1, 2023 · 3.2. Fundus image synthesis framework. Inspired by Volokitin et al. [32], a method of generating semantic images first that GANs can have a performance for …
1 week ago WEB Aug 10, 2022 · The global and spatial features of fundus images are extracted by using CNN and GCN, and attention mechanism is introduced to enhance the adaptability of …
4 days ago WEB Oct 1, 2022 · Scholars have gradually begun to pay attention to the multi-label classification of fundus disorders over the last two years. Two mainstream research …
1 week ago WEB The fundus is part of the eye, and any partof the fundus is referred to as a fundus disease. In recentyears, the incidence of eye diseases has increased. Accordingto some …
4 days ago WEB Sep 1, 2023 · 1. In this work, the proposed framework named FundusGAN is trained in an end-to-end manner to synthesize fundus images for two major ophthalmic diseases …
1 week ago WEB Nov 10, 2021 · Steering in this direction, the proposed work attempts to analyze the performance of semi-supervised Generative Adversarial Networks (GANs) for the …
3 days ago WEB Mar 2, 2024 · To overcome these limitations, we propose a patch-based semi-supervised learning approach and evaluate performance on classification of diabetic retinopathy …
1 week ago WEB Jan 1, 2022 · Steering in this direction, the proposed work attempts to analyze the performance of semi-supervised Generative Adversarial Networks (GANs) for the …
5 days ago WEB Aug 10, 2022 · Semi‐supervised classification based on attention mechanism can effectively improve the classification performance of the model, and attain preferable …
2 days ago WEB Aug 10, 2022 · Conclusions Semi‐supervised classification based on attention mechanism can effectively improve the classification performance of the model, and …
5 days ago WEB Abstract: The accurate diagnosis of fundus disease can effectively reduce the disease's further deterioration and provide targeted treatment plans for patients. Fundus image …
6 days ago WEB Aug 10, 2022 · Diabetic retinopathy (DR) is a microvascular disease that occurs in the retina in diabetes. It is mainly pathologically characterized by retinal vascular changes. The …
1 week ago WEB Apr 1, 2021 · A fundus image is a projection of the fundus captured by a monocular camera on a 2D plane. Unlike other eye scans, such as OCT images and angiographs, …
1 week ago WEB Nov 10, 2021 · The proposed work attempts to analyze the performance of semi-supervised Generative Adversarial Networks (GANs) for the classification of retinal fundus …