Title | FFNET: An End-To-End Framework Based on Feature Pyramid Network and Filter Network for Pulmonary Nodule Detection |
Author | |
DOI | |
Publication Years | 2023
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ISSN | 1945-7928
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ISBN | 978-1-6654-7359-0
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Source Title | |
Pages | 1-6
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Conference Date | 18-21 April 2023
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Conference Place | Cartagena, Colombia
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Keywords | |
SUSTech Authorship | First
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URL | [Source Record] |
Indexed By | |
WOS Accession No | WOS:001062050500308
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Data Source | IEEE
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PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10230631 |
Citation statistics |
Cited Times [WOS]:0
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Document Type | Conference paper |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/559161 |
Department | Research Institute of Trustworthy Autonomous Systems 工学院_计算机科学与工程系 |
Affiliation | Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China |
First Author Affilication | Research Institute of Trustworthy Autonomous Systems; Department of Computer Science and Engineering |
First Author's First Affilication | Research Institute of Trustworthy Autonomous Systems; Department of Computer Science and Engineering |
Recommended Citation GB/T 7714 |
Xiaoxi Lu,Na Zeng,Xingyue Wang,et al. FFNET: An End-To-End Framework Based on Feature Pyramid Network and Filter Network for Pulmonary Nodule Detection[C],2023:1-6.
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