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Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images

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Zhou, Kang, Xiao, Yuting, Yang, Jianlong, Cheng, Jun, Liu, Wen, Luo, Weixin, Gu, Zaiwang, Liu, Jiang, Gao, Shenghua·2020·Lecture Notes in Computer Science

DOI 10.1007/978-3-030-58565-5_22

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Authors: Zhou, K., Xiao, Y., Yang, J., Cheng, J., Liu, W., Luo, W., Gu, Z., Liu, J., & Gao, S.
Affiliations: ShanghaiTech University (CN)
Chinese Academy of Sciences (CN)
Corresponding author: Gao, Shenghua
ORCID: Zhou, Kang
Xiao, Yuting
Yang, Jianlong
Cheng, Jun
Liu, Wen
Luo, Weixin
Gu, Zaiwang
Liu, Jiang
Gao, Shenghua
Venue: Lecture Notes in Computer Science
Publisher: Springer International Publishing
Published: 2020
Pages: 360-377
ISSN: 0302-9743 (ISSN-L)
1611-3349
DOI: 10.1007/978-3-030-58565-5_22
OpenAlex: W3108975592
Cited by: 146
References: 43
Citations by year: 2026: 8 · 2025: 27 · 2024: 32 · 2023: 23 · 2022: 31 · 2021: 22 · 2020: 3
FWCI: 21.62
Type: conference paper
Language: en
Open access: green
arxiv.org
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Lecture notes in computer science (publishedVersion)
arXiv (Cornell University) (submittedVersion)
The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
arXiv (Cornell University)
Funders: National Natural Science Foundation of China (#61932020, 2020B121201001, 2018AAA0100704)
ShanghaiTech University
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Retinal Imaging and Analysis
Physical Sciences › Computer Science › Artificial Intelligence › Anomaly Detection Techniques and Applications
Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
Keywords: fundus images, optical coherence tomography, structure extraction, image reconstruction, retinal disease detection, novel class discovery, P-NET

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Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images

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