Research progress of artificial intelligence-based imaging diagnosis of infectious diseases

Author:

Li Hongjun,Guo Lin,Xia Li,Lure Fleming

Publisher

Medknow

Reference19 articles.

1. World Health Organization. WHO Consolidated Guidelines on Tuberculosis: Module 2: Screening: Systematic Screening for Tuberculosis Disease [M]. Geneva: World Health Organization; 2021.

2. Evaluation of an Artificial Intelligence (AI) system to detect tuberculosis on chest X-ray at a pilot active screening project in Guangdong, China in 2019;Liao;J Xray Sci Technol,2022

3. Developing and verifying automatic detection of active pulmonary tuberculosis from multi-slice spiral CT images based on deep learning;Ma;J Xray Sci Technol,2020

4. Cid YD, Kalinovsky A, Liauchuk V, Kovalev V, Müller H. Overview of ImageCLEF 2017 Tuberculosis Task – Predicting Tuberculosis Type and Drug Resistances [M]. Dublin, Ireland: CLEF 2017 Working Notes; 2017.

5. Prediction of multidrug-resistant TB from CT pulmonary images based on deep learning techniques;Gao;Mol Pharm,2018

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Application of Artificial Intelligence in Infectious Diseases;Artificial Intelligence in Medical Imaging in China;2024

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