AIMC Topic: Anthracosis
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Deep learning-based algorithm for classifying high-resolution computed tomography features in coal workers' pneumoconiosis.
Biomedical engineering online
Jan 27, 2025
BACKGROUND: Coal workers' pneumoconiosis is a chronic occupational lung disease with considerable pulmonary complications, including irreversible lung diseases that are too complex to accurately identify via chest X-rays. The classification of clinic...
Use data augmentation for a deep learning classification model with chest X-ray clinical imaging featuring coal workers' pneumoconiosis.
BMC pulmonary medicine
Jul 15, 2022
PURPOSE: This paper aims to develop a successful deep learning model with data augmentation technique to discover the clinical uniqueness of chest X-ray imaging features of coal workers' pneumoconiosis (CWP).
Predicting Pneumoconiosis Risk in Coal Workers using Artificial Neural Networks.
Puerto Rico health sciences journal
Jun 1, 2025
OBJECTIVE: This study aimed to create a model to predict pneumoconiosis risk in coal workers using artificial neural networks (ANNs).
First Case Report Of Anca-Associated Vasculitis And Anthracosis Coexistence.
Journal of Ayub Medical College, Abbottabad : JAMC
Jan 1, 2023
Anthracosis is a type of mild pneumoconiosis secondary to harmless carbon dust deposits. Although anthracosis was previously associated with inhaled coal particles, such as coal workers' pneumoconiosis, this hypothesis was later abandoned; pathology ...
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