Cargando…
Mycobacterial cavity on chest computed tomography: clinical implications and deep learning-based automatic detection with quantification
BACKGROUND: This study aimed (I) to investigate the clinical implication of computed tomography (CT) cavity volume in tuberculosis (TB) and non-tuberculous mycobacterial pulmonary disease (NTM-PD), and (II) to develop a three-dimensional (3D) nnU-Net model to automatically detect and quantify cavity...
Autores principales: | Yoon, Ieun, Hong, Jung Hee, Witanto, Joseph Nathanael, Yim, Jae-Joon, Kwak, Nakwon, Goo, Jin Mo, Yoon, Soon Ho |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929398/ https://www.ncbi.nlm.nih.gov/pubmed/36819253 http://dx.doi.org/10.21037/qims-22-620 |
Ejemplares similares
-
Generative adversarial network for automatic quantification of Coronavirus disease 2019 pneumonia on chest radiographs
por: Yoo, Seung-Jin, et al.
Publicado: (2023) -
Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images and low-keV contrast-enhanced vessel maps
por: Nam, Ju Gang, et al.
Publicado: (2021) -
Usefulness of Post-bronchoscopy Sputum Culture for Diagnosis of Nontuberculous Mycobacterial Pulmonary Disease
por: Gu, Kang-Mo, et al.
Publicado: (2021) -
Submillisievert Computed Tomography of the Chest in Contact Investigation for Drug-Resistant Tuberculosis
por: Lee, Seung Chul, et al.
Publicado: (2017) -
The Rise in Prevalence and Related Costs of Nontuberculous Mycobacterial Diseases in South Korea, 2010–2021
por: Kim, Joong-Yub, et al.
Publicado: (2022)