A retrospective study differentiating nontuberculous mycobacterial pulmonary disease from pulmonary tuberculosis on computed tomography using radiomics and machine learning algorithms
The CT radiomics features can help distinguish between NTM-PD and PTB. Among the four classifiers, SVM showed a stable performance in effectively identifying these two diseases.
Authors
- Qin Hu (ORCID: https://orcid.org/0009-0004-0283-3505)
- Yihang Yu (ORCID: https://orcid.org/0000-0002-9533-0218)
- Wenke Yu
- Lihong Zhou (ORCID: https://orcid.org/0000-0002-0168-8252)
- Wenchao Zhu (ORCID: https://orcid.org/0000-0002-6321-9224)
- Yafang Zhao
- Yiwen Wang (ORCID: https://orcid.org/0009-0004-8688-2047)
Institutions
- Zhejiang Chinese Medical University (CN)
- Sir Run Run Shaw Hospital (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Annals of Medicine
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1080/07853890.2024.2401613
- Citations
- 14
- Primary Topic
- Mycobacterium research and diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 5.41