Identifying pulmonary nodules or masses on chest radiography using deep learning: external validation and strategies to improve clinical practice-Reference-Cited by-同舟云学术

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Identifying pulmonary nodules or masses on chest radiography using deep learning: external validation and strategies to improve clinical practice

Published:2020-01 Issue:1 Volume:75 Page:38-45
ISSN:0009-9260
Container-title:Clinical Radiology
language:en
Short-container-title:Clinical Radiology

Author:

Liang C.-H.,Liu Y.-C.,Wu M.-T.,Garcia-Castro F.,Alberich-Bayarri A.,Wu F.-Z.

Funder

Kaohsiung Veterans General Hospital

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Reference30 articles.

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2. Pitfalls in chest radiographic interpretation: blind spots;de Groot;Sem Roentgenol,2015

3. Reduced lung-cancer mortality with low-dose computed tomographic screening;Aberle;N Engl J Med,2011

4. Semiquantative visual assessment of sub-solid pulmonary nodules ≤3 cm in differentiation of lung adenocarcinoma spectrum;Wu;Sci Rep,2017

5. Modified Lung-RADS improves performance of screening LDCT in a population with high prevalence of non-smoking-related lung cancer;Hsu;Acad Radiol,2018

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