Application of deep learning in pulmonary tuberculosis imaging diagnosis

doi:10.19982/j.issn.1000-6621.20210537

Abstract

Abstract:

The imaging morphology of pulmonary tuberculosis is often diversified, therefore, how to differentiate the diagnosis of pulmonary tuberculosis has always been the focus and difficulty of conventional imaging studies.In recent years, deep learning has made rapid development in assisted image diagnosis. Deep learning is good at identifying complex patterns in a large amount of image data, which can greatly improve the diagnostic accuracy and work efficiency of doctors.This paper reviews the application, deficiency and prospect of deep learning in pulmonary tuberculosis and imaging diagnosis.

Key words: Tuberculosis,pulmonary, Radiology, Diagnosis, Artificial intelligence, Review literature as topic

CLC Number:

WU Jian, HOU Dai-lun. Application of deep learning in pulmonary tuberculosis imaging diagnosis[J]. Chinese Journal of Antituberculosis, 2022, 44(1): 91-94. doi: 10.19982/j.issn.1000-6621.20210537

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