A difficulty-aware and task-augmentation method based on meta-learning model for few-shot diabetic retinopathy classification-Reference-Cited by-同舟云学术

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A difficulty-aware and task-augmentation method based on meta-learning model for few-shot diabetic retinopathy classification

Published:2024-01 Issue:1 Volume:14 Page:861-876
ISSN:2223-4292
Container-title:Quantitative Imaging in Medicine and Surgery
language:
Short-container-title:Quant Imaging Med Surg

Author:

Liu Xueyao,Dong Xueyuan,Li Tuo,Zou Xiaofeng,Cheng Chen,Jiang Zekun,Gao Zhumin,Duan Sixu,Chen Meirong,Liu Tingting,Huang Pu,Li Dengwang,Lu Hua

Publisher

AME Publishing Company

Subject

Radiology, Nuclear Medicine and imaging

Link

https://qims.amegroups.com/article/download/119983/pdf

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing automatic prediction of clinically significant prostate cancer with deep transfer learning 2.5-dimensional segmentation on bi-parametric magnetic resonance imaging (bp-MRI);Quantitative Imaging in Medicine and Surgery;2024-07

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