1. Deep learning in chest radiography: detection of pneumoconiosis;Xiao;J. Biomedical and environmental sciences.,2021
2. Guidelines for the use of the ILO international classification of radiographs of pneumoconioses, revised edition 2011;Fedotov,2011
3. L.T. Zeng, J.Q. Chen, Z.Q. Jiang, X.F. Xu, Progress in imaging diagnosis of pneumoconiosis, J. Preventive medicine. 33 (12) (2021) 1236-1239, 10.19485/j. cnki.issn.2096-5087.2021.12.010.
4. M. d. F. Martins, A. Honório-Ferreira, P. Martins, C.A. Gonçalves, Presence of sialic acids in bronchioloalveolar cells and identification and quantification of N-acetylneuraminic and N-glycolylneuraminic acids in the lung, J. Acta Histochemica. 121 (6) (2019) 712-717, . acthis. 2019.06.004.
5. Changes of serum sialic acid, hyaluronic acid and total sulfhydryl group in patients with pneumoconiosis;Zhang;J. Chinese Occupational Medicine.,2004