中文版 | English
Title

FFNET: An End-To-End Framework Based on Feature Pyramid Network and Filter Network for Pulmonary Nodule Detection

Author
DOI
Publication Years
2023
ISSN
1945-7928
ISBN
978-1-6654-7359-0
Source Title
Pages
1-6
Conference Date
18-21 April 2023
Conference Place
Cartagena, Colombia
Keywords
SUSTech Authorship
First
URL[Source Record]
Indexed By
WOS Accession No
WOS:001062050500308
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10230631
Citation statistics
Cited Times [WOS]:0
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/559161
DepartmentResearch 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 AffilicationResearch Institute of Trustworthy Autonomous Systems;  Department of Computer Science and Engineering
First Author's First AffilicationResearch 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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