Cargando…
A Computer-Aided Pipeline for Automatic Lung Cancer Classification on Computed Tomography Scans
Lung cancer is one of the most common cancer types. For the survival of the patient, early detection of lung cancer with the best treatment method is crucial. In this study, we propose a novel computer-aided pipeline on computed tomography (CT) scans for early diagnosis of lung cancer thanks to the...
Autor principal: | Dandıl, Emre |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6236771/ https://www.ncbi.nlm.nih.gov/pubmed/30515286 http://dx.doi.org/10.1155/2018/9409267 |
Ejemplares similares
-
Computer-aided detection system for lung cancer in computed tomography scans: Review and future prospects
por: Firmino, Macedo, et al.
Publicado: (2014) -
Automatic segmentation of deep intracerebral electrodes in computed tomography scans
por: Arnulfo, Gabriele, et al.
Publicado: (2015) -
Age-based computer-aided diagnosis approach for pancreatic cancer on endoscopic ultrasound images
por: Ozkan, Murat, et al.
Publicado: (2016) -
Computer-aided classification of lung nodules on computed tomography images via deep learning technique
por: Hua, Kai-Lung, et al.
Publicado: (2015) -
Automatic Classification System for Periapical Lesions in Cone-Beam Computed Tomography
por: Calazans, Maria Alice Andrade, et al.
Publicado: (2022)