Deep learning radiomics of dual-modality ultrasound images for hierarchical diagnosis of unexplained...
Deep learning radiomics of dual-modality ultrasound images for hierarchical diagnosis of unexplained cervical lymphadenopathy
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Author / Creator
Zhu, Yangyang , Meng, Zheling , Fan, Xiao , Duan, Yin , Jia, Yingying , Dong, Tiantian , Wang, Yanfang , Song, Juan , Tian, Jie , Wang, Kun and Nie, Fang
Publisher
London: BioMed Central Ltd
Journal title
Language
English
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Publication information
Publisher
London: BioMed Central Ltd
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Contents
Background Accurate diagnosis of unexplained cervical lymphadenopathy (CLA) using medical images heavily relies on the experience of radiologists, which is even worse for CLA patients in underdeveloped countries and regions, because of lack of expertise and reliable medical history. This study aimed to develop a deep learning (DL) radiomics model b...
Alternative Titles
Full title
Deep learning radiomics of dual-modality ultrasound images for hierarchical diagnosis of unexplained cervical lymphadenopathy
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_b346af0d571d42baa7344f8ecc7c4406
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b346af0d571d42baa7344f8ecc7c4406
Other Identifiers
ISSN
1741-7015
E-ISSN
1741-7015
DOI
10.1186/s12916-022-02469-z
