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A Fully Deep Learning Paradigm for Pneumoconiosis Staging on Chest Radiographs

IEEE journal of biomedical and health informatics, 2022
Pneumoconiosis staging has been a very challenging task, both for certified radiologists and computer-aided detection algorithms. Although deep learning has shown proven advantages in the detection of pneumoconiosis, it remains challenging in ...
Wenjian Sun   +10 more
semanticscholar   +1 more source

Trends in global, regional and national incidence of pneumoconiosis caused by different aetiologies: an analysis from the Global Burden of Disease Study 2017

Occupational and Environmental Medicine, 2020
Objectives Pneumoconiosis remains a major global occupational health hazard and illness. Accurate data on the incidence of pneumoconiosis are critical for health resource planning and development of health policy. Methods We collected data for the period
Peng Shi   +6 more
semanticscholar   +1 more source

Co-occurrence of pneumoconiosis with COPD, pneumonia and lung cancer.

Occupational Medicine, 2022
BACKGROUND Pneumoconiosis is a well-documented occupational disease that is linked to conditions such as chronic obstructive pulmonary disease (COPD), pneumonia and congestive heart failure.
N. Rayens, E. A. Rayens, R. Tighe
semanticscholar   +1 more source

Analysis of Health Service Utilization and its Influencing Factors among Patients with Pneumoconiosis in China.

Biomedical and environmental sciences : BES, 2021
Pneumoconiosis, an interstitial lung disease that occurs from breathing in certain kinds of damaging dust particles, is a major occupational disease in China.
Huan-qiang Wang   +14 more
semanticscholar   +1 more source

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