Deep-Learning-Aided Detection of Mycobacteria in Pathology Specimens Increases the Sensitivity in Early Diagnosis of Pulmonary Tuberculosis Compared with Bacteriology Tests

Deep-Learning-Aided Detection of Mycobacteria in Pathology Specimens Increases the Sensitivity in Early Diagnosis of Pulmonary Tuberculosis Compared with Bacteriology Tests

The histopathological diagnosis of mycobacterial infection may be improved by a comprehensive analysis using artificial intelligence. Two autopsy cases of pulmonary tuberculosis, and forty biopsy cases of undetected acid-fast bacilli (AFB) were used to train AI (convolutional neural network), and co...

Full description

Bibliographic Details
Main Authors: Yoshiaki Zaizen, Yuki Kanahori, Sousuke Ishijima, Yuka Kitamura, Han-Seung Yoon, Mutsumi Ozasa, Hiroshi Mukae, Andrey Bychkov, Tomoaki Hoshino, Junya Fukuoka
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Diagnostics
Subjects:
tuberculosis
artificial intelligence
bronchoscopy
bronchial lavage
mycobacteria
Online Access:https://www.mdpi.com/2075-4418/12/3/709

Internet

https://www.mdpi.com/2075-4418/12/3/709

Similar Items