Review on tuberculosis detection using deep learning
10.3969/j.issn.1005-202X.2024.07.020
- VernacularTitle:基于深度学习的肺结核检测综述
- Author:
Haojie XIE
1
;
Mingli LU
;
Chen ZHANG
;
Lixiang ZHOU
;
Yidi TENG
;
Mingming WANG
Author Information
1. 盐城工学院电气工程学院,江苏盐城 221051
- Keywords:
pulmonary tuberculosis;
medical image;
automatic detection;
deep learning;
review
- From:
Chinese Journal of Medical Physics
2024;41(7):918-924
- CountryChina
- Language:Chinese
-
Abstract:
The automatic detection of tuberculosis lesions based on medical imaging has become a research hotspot in medical image processing.A comprehensive review of relevant researches and applications pertaining to deep learning in tuberculosis lesion detection is provided,which elucidates the experimental benchmarks in tuberculosis analysis,covering public datasets of pulmonary medical images and recent research advancements in tuberculosis detection and classification competitions,introduces emerging trends in deep learning methods and applications in tuberculosis detection,and analyzes the challenges existing in tuberculosis diagnosis using deep learning.The review summarizes and provides insights into the research advances and challenges of these technologies from the aspects of technical characteristics,performance advantages,and application prospects.
