Effectiveness of data-augmentation on deep learning in evaluating rapid on-site cytopathology at end...
Effectiveness of data-augmentation on deep learning in evaluating rapid on-site cytopathology at endoscopic ultrasound-guided fine needle aspiration
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Author / Creator
Fujii, Yuki , Uchida, Daisuke , Sato, Ryosuke , Obata, Taisuke , Akihiro, Matsumi , Miyamoto, Kazuya , Morimoto, Kosaku , Terasawa, Hiroyuki , Yamazaki, Tatsuhiro , Matsumoto, Kazuyuki , Horiguchi, Shigeru , Tsutsumi, Koichiro , Kato, Hironari , Inoue, Hirofumi , Cho, Ten , Tanimoto, Takayoshi , Ohto, Akimitsu , Kawahara, Yoshiro and Otsuka, Motoyuki
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Rapid on-site cytopathology evaluation (ROSE) has been considered an effective method to increase the diagnostic ability of endoscopic ultrasound-guided fine needle aspiration (EUS-FNA); however, ROSE is unavailable in most institutes worldwide due to the shortage of cytopathologists. To overcome this situation, we created an artificial intelligenc...
Alternative Titles
Full title
Effectiveness of data-augmentation on deep learning in evaluating rapid on-site cytopathology at endoscopic ultrasound-guided fine needle aspiration
Authors, Artists and Contributors
Author / Creator
Uchida, Daisuke
Sato, Ryosuke
Obata, Taisuke
Akihiro, Matsumi
Miyamoto, Kazuya
Morimoto, Kosaku
Terasawa, Hiroyuki
Yamazaki, Tatsuhiro
Matsumoto, Kazuyuki
Horiguchi, Shigeru
Tsutsumi, Koichiro
Kato, Hironari
Inoue, Hirofumi
Cho, Ten
Tanimoto, Takayoshi
Ohto, Akimitsu
Kawahara, Yoshiro
Otsuka, Motoyuki
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_8952bdea638a43579d3161b54e9cd2fd
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8952bdea638a43579d3161b54e9cd2fd
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-72312-3