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...

Descripción completa

Detalles Bibliográficos
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:
Original Article
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

Internet

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