Unsupervised Approach for Malignancy Assessment of Lung Nodules in Computed Tomography Scans Using Radiomic Features

AuthID
 P-00X-G09
5
Author(s)
Teixeira, M
·
Document Type
Proceedings Paper
Year published
2022
Published
in 2022 44TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC in EMBC, ISSN: 1557-170X
Volume: 2022-July, Pages: 2037-2040 (4)
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Publication Identifiers
Dblp: conf/embc/TeixeiraPSCO22
Pubmed: 36086366
Scopus: 2-s2.0-85138128553
Unpaywall: 10.1109/embc48229.2022.9871704
Wos: WOS:001251147201223
Source Identifiers
ISSN: 1557-170X
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