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MeSH:(Pneumoconiosis/diagnostic imaging*)

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

4.A systematic review of digital radiography for the screening and recognition of pneumoconiosis.

Huanqiang WANG ; Tao LI

Chinese Journal of Industrial Hygiene and Occupational Diseases 2014;32(5):327-334

5.Welders' siderosis: a retrospective cohort study on welder's pneumoconiosis patients with small round opacities on chest radiograph.

Ling MAO ; Jin SHI ; Zidan CHEN ; Jingbo ZHANG

Chinese Journal of Industrial Hygiene and Occupational Diseases 2014;32(11):823-827

6.Clinical value of (18)F-FDGPET/CT in differentiation between benign lesions and lung cancer for large shadows in patients with pneumoconiosis.

Yanli WANG ; Hua ZHANG ; Xinjian CUI ; Na FANG ; Lei ZENG ; Chunling ZHANG

Chinese Journal of Industrial Hygiene and Occupational Diseases 2014;32(3):186-189

7.The application of low-dose multi spiral CT chest scan in pneumoconiosis.

Guixi LIU ; Liushan XIONG ; Likun CHEN ; Aichu YANG ; Chaodong CHEN

Chinese Journal of Industrial Hygiene and Occupational Diseases 2014;32(1):64-67

8.Optimization of digital chest radiography image post-processing in diagnosis of pneumoconiosis.

Bing-yong SHENG ; Ling MAO ; Shao-wei ZHOU ; Jin SHI

Chinese Journal of Industrial Hygiene and Occupational Diseases 2013;31(11):825-829

9.Compute tomography-based quantitative evaluation of pneumoconiosis.

Luhua XIA ; Furong LÜ ; Yi WANG ; Bo SHENG ; Shaoquan ZHOU

Journal of Southern Medical University 2012;32(12):1768-1772

10.Characteristics of pneumoconiosis on multi-detector row CT and its' anatomic-pathologic basis.

Yuanchun FENG ; Zhigang YANG ; Yuan LI ; Tianwu CHEN ; Qiling WANG ; Wen DENG

Journal of Biomedical Engineering 2011;28(2):287-291

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