Progress in imaging diagnosis of pneumoconiosis
10.19485/j.cnki.issn2096-5087.2021.12.010
- Author:
ZENG Liutao
;
CHEN Junqiang
;
JIANG Zhaoqiang
;
XU Xiufang
- Publication Type:Journal Article
- Keywords:
pneumoconiosis；diagnosis；digital radiography；artificial intelligence；computed tomography
- From:
Journal of Preventive Medicine
2021;33(12):1236-1239
- CountryChina
- Language:Chinese
-
Abstract:
Pneumoconiosis is a serious occupational disease in China. Early imaging examination is one of the important measures for the diagnosis, treatment and prevention of pneumoconiosis. Digital radiography (DR) and computed tomography (CT) play an important role in the screening and diagnosis of pneumoconiosis, as well as the recent rise of artificial intelligence (AI) technology. This paper reviews the latest progress in technical parameter debugging and quality control of DR, optimization of AI computer-aided system and CT-aided diagnosis of pneumoconiosis, summarizes the advantages and problems in the application of the three technologies, providing research directions for imaging diagnosis of pneumoconiosis.
- Full text:尘肺病影像学诊断的研究进展.pdf
