Radiologists with and without deep learning–based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses-Reference-Cited by-同舟云学术

Radiologists with and without deep learning–based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses

Published:2022-06-25 Issue:1 Volume:33 Page:348-359
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Wataya Tomohiro^ORCID,Yanagawa Masahiro^ORCID,Tsubamoto Mitsuko,Sato Tomoharu,Nishigaki Daiki^ORCID,Kita Kosuke^ORCID,Yamagata Kazuki^ORCID,Suzuki Yuki^ORCID,Hata Akinori^ORCID,Kido Shoji^ORCID,Tomiyama Noriyuki^ORCID,

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-022-08948-4.pdf

Reference34 articles.

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