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MeSH:(Anthracosis*)

1.Application of a light-weighted convolutional neural network for automatic recognition of coal workers' pneumoconiosis in the early stage.

Feng Tao CUI ; Yan WANG ; Xin Ping DING ; Yu Long YAO ; Bing LI ; Fu Hai SHEN

Chinese Journal of Industrial Hygiene and Occupational Diseases 2023;41(3):177-182

3.Analysis of disease burden of occupational pneumoconiosis in Gansu Province from 2010 to 2020.

Wen Li ZHAO ; Hui LI ; Yu Hong HE ; Wei SUN

Chinese Journal of Industrial Hygiene and Occupational Diseases 2023;41(4):276-280

4.Analysis of the disease burden of pneumoconiosis globally and in China from 1990 to 2019.

Xiang CHEN ; Yan Fan CHEN

Chinese Journal of Industrial Hygiene and Occupational Diseases 2023;41(6):417-424

5.Analysis of clinical diagnostic characteristics of 26131 patients with pneumoconiosis in Hunan Province.

Ying LI ; Si Jia LYUQIU ; Gui Qian LIU ; Xiao Hua ZHANG

Chinese Journal of Industrial Hygiene and Occupational Diseases 2023;41(7):533-535

6.Expression and functional SNP loci screen of ATM from coal worker's pneumoconiosis.

Hao DENG ; Tao ZHANG ; Ma Li WU ; Guang Hong YANG ; Yan CHEN ; Yue Dong LIANG

Chinese Journal of Industrial Hygiene and Occupational Diseases 2022;40(2):103-108

7.Analysis on epidemiological characteristics of pneumoconiosis in Qinghai Province from 2011 to 2020.

Gui Mei SHI ; Hong Yan LEI ; Xiao Ming MA

Chinese Journal of Industrial Hygiene and Occupational Diseases 2022;40(3):200-203

8.Survival and disease burden trend analysis of occupational pneumoconiosis from 1963 to 2020 in Shizuishan City.

Yan TONG ; Yun Yan KONG ; Hao BIAN ; Jian Zhong ZHENG ; Yong Jun WU ; Yue ZHANG

Chinese Journal of Industrial Hygiene and Occupational Diseases 2022;40(5):341-347

9.Risk of Active Pulmonary Tuberculosis among Patients with Coal Workers'Pneumoconiosis: A Case-control Study in China.

Yan JIN ; Jing Guang FAN ; Jing PANG ; Ke WEN ; Pei Ying ZHANG ; Huan Qiang WANG ; Tao LI

Biomedical and Environmental Sciences 2018;31(6):448-453

10.Clinical Characteristics of False-Positive Lymph Node on Chest CT or PET-CT Confirmed by Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration in Lung Cancer.

Jongmin LEE ; Young Kyoon KIM ; Ye Young SEO ; Eun Kyoung CHOI ; Dong Soo LEE ; Yeon Sil KIM ; Sook Hee HONG ; Jin Hyoung KANG ; Kyo Young LEE ; Jae Kil PARK ; Sook Whan SUNG ; Hyun Bin KIM ; Mi Sun PARK ; Hyeon Woo YIM ; Seung Joon KIM

Tuberculosis and Respiratory Diseases 2018;81(4):339-346

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