Accurate Segmentation of Optic Disc and Cup from Multiple Pseudo-labels by Noise-aware Learning-Reference-Cited by-同舟云学术

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Accurate Segmentation of Optic Disc and Cup from Multiple Pseudo-labels by Noise-aware Learning

Published:2024-05-08 Issue: Volume:31 Page:1540-1545
ISSN:
Container-title:2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
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Author:

Weng Tengjin¹,Shen Yang²,Zhao Zhidong³,Cheng Zhiming⁴,Wang Shuai¹

Affiliation:

1. Zhejiang Sci-Tech University,School of Computer Science and Technology,Hangzhou,China,310018

2. Lishui University,School of Engineering,Lishui,China,323000

3. Hangzhou Dianzi University,School of Cyberspace,Hangzhou,China,310018

4. Hangzhou Dianzi University,School of Automation,Hangzhou,China,310018

Funder

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Lishui University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579968/10579982/10580087.pdf?arnumber=10580087

Reference19 articles.

1. Fully convolutional networks for semantic segmentation

2. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

3. U-Net: Convolutional Networks for Biomedical Image Segmentation

4. Learning from noisy labels generated by extremely point annotations for oct fluid segmentation;Weng,2023

5. Semi-supervised Semantic Segmentation via Strong-Weak Dual-Branch Network

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