Deep learning-based automatic detection for pulmonary nodules on chest radiographs: The relationship with background lung condition, nodule characteristics, and location-Reference-Cited by-同舟云学术

Deep learning-based automatic detection for pulmonary nodules on chest radiographs: The relationship with background lung condition, nodule characteristics, and location

Published:2023-09 Issue: Volume:166 Page:111002
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Ueno Midori,Yoshida Kotaro,Takamatsu Atsushi,Kobayashi Takeshi,Aoki Takatoshi,Gabata Toshifumi

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference15 articles.

1. Digital chest radiography: an update on modern technology, dose containment and control of image quality;Schaefer-Prokop;Eur. Radiol.,2008

2. Detection of lung cancer on the chest radiograph: a study on observer performance;Quekel;Eur. J. Radiol.,2001

3. Results of the two incidence screenings in the national lung screening trial;Aberle;N. Engl. J. Med.,2013

4. Computer-aided detection of malignant lung nodules on chest radiographs: Effect on observers’ performance;Lee;Korean J. Radiol.,2012

5. Development and validation of deep learning-based automatic detection algorithm for malignant pulmonary nodules on chest radiographs;Nam;Radiology,2019

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