Automated identification of the preclinical stage of coal workers' pneumoconiosis from digital chest radiography using three-stage cascaded deep learning model-Reference-Cited by-同舟云学术

Automated identification of the preclinical stage of coal workers' pneumoconiosis from digital chest radiography using three-stage cascaded deep learning model

Published:2023-05 Issue: Volume:83 Page:104607
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Wang Yan,Cui Fengtao,Ding Xinping,Yao Yulong,Li Guoming,Gui Genjuan,Shen Fuhai,Li Bing

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference40 articles.

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4. The diagnosis of early pneumoconiosis in dust-exposed workers: comparison of chest radiography and computed tomography;Hayashi;Acta Radiol.,2022

5. Office Labour Office, Guidelines for the use of the ILO International Classification of Radiographs of Pneumoconioses, Revised Edition 2011. (2011).

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