Cargando…
Evaluation of Semi-automatic Segmentation Methods for Persistent Ground Glass Nodules on Thin-Section CT Scans
OBJECTIVES: This work was a comparative study that aimed to find a proper method for accurately segmenting persistent ground glass nodules (GGN) in thin-section computed tomography (CT) images after detecting them. METHODS: To do this, we first applied five types of semi-automatic segmentation metho...
Autores principales: | Kim, Young Jae, Lee, Seung Hyun, Park, Chang Min, Kim, Kwang Gi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Medical Informatics
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116543/ https://www.ncbi.nlm.nih.gov/pubmed/27895963 http://dx.doi.org/10.4258/hir.2016.22.4.305 |
Ejemplares similares
-
An Automatic Random Walker Algorithm for Segmentation of Ground Glass Opacity Pulmonary Nodules
por: Li, Xiangxia, et al.
Publicado: (2022) -
Preoperative Flexible Bronchoscopy in Patients with Persistent Ground-Glass Nodule
por: Jhun, Byung Woo, et al.
Publicado: (2015) -
The Effect of CT Scan Parameters on the Measurement of CT Radiomic Features: A Lung Nodule Phantom Study
por: Kim, Young Jae, et al.
Publicado: (2019) -
Ground-glass nodules and CT-guided placement of platinum
coils
por: Hochhegger, Bruno, et al.
Publicado: (2014) -
Diagnostic value of contrast-enhanced CT scans in identifying lung adenocarcinomas manifesting as GGNs (ground glass nodules)
por: Gao, Feng, et al.
Publicado: (2017)