.png){kind=icon}
返回
MGCNet: Multi-granularity cataract classification using denoising diffusion probabilistic model ☆
.png){kind=icon}
PRE
AI
DOI：10.1016/j.displa.2024.102716.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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 diagnosis. Deep learning models are widely applied in existing methods. However, a key challenge to improve the performance is the noise existed in medical images. Inspired by the ability of the denoising diffusion probabilistic model to generate noise -robust features in image generation tasks, this work develops a new method for cataract classification to learn and share complementary representations among multiple tasks. To alleviate the existence of general noise, a dual -branch network is proposed to combine the image generation based on the denoising diffusion probabilistic model and the target classification task effectively. A cross fusion module is further designed by two cross attention to enhance the interaction of features generated from two branches. Compared to state-ofthe-art methods, the proposed model improves the performance by a significant margin on three classification datasets and has a more robust tolerance with noise interference. Most notably, for multi -granularity cataract classification, it achieves 73.86% in Recall, 81.18% in Precision, 76.94% in F1 -Score, and 81.79% in Accuracy, which surpasses the performance of the second -place model by 7.43%, 7.07%, 6.76% and 2.37% respectively.
Keyword:
Cataract classification
Cataract grading
Denoising diffusion probabilistic model
Transformer
Medical image classification
期刊
IF:
3.4
论文数:
2.2K
被引数:
3.2K
机构
引用论文
Attention to region: Region-based integration-and-recalibration networks for nuclear cataract classification using AS-OCT images.png)
MEDICAL IMAGE ANALYSIS
OAAI
MEDICAL IMAGE ANALYSISIF11.8
OAAI分享收藏OMCBIR: Offline mobile content-based image retrieval with lightweight CNN optimizationOMCBIR: 基于轻量级CNN优化的离线移动内容图像检索DISPLAYS
OAAI
DISPLAYSIF3.4
OAAI分享收藏Preliminary evaluation of a novel vision-guided hybrid robot system for capsulotomy in cataract surgeryDISPLAYS
DISPLAYSIF3.4
PREAI
分享收藏Multi-task learning for concurrent survival prediction and semi-supervised segmentation of gliomas in brain MRI基于多任务学习的脑MRI胶质瘤生存预测和半监督分割DISPLAYS
DISPLAYSIF3.4
PREAI
分享收藏Boosting convolutional image captioning with semantic content and visual relationshipDISPLAYS
DISPLAYSIF3.4
PREAI
分享收藏Oxidative stress in liver of grass carp Ctenopharyngodon idella naturally infected with Saprolegnia parasitica and its influence on disease pathogenesis天然感染水蚤的草鱼肝脏氧化应激及其对疾病发病机制的影响
PREAI
分享收藏分享收藏
查看更多内容