Deep learning-based algorithm for classifying high-resolution computed tomography features in coal workers’ pneumoconiosis
Abstract 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 clinical imaging features from high-resolution c...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
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Series: | BioMedical Engineering OnLine |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12938-025-01333-4 |
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