Cargando…
Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans
Automatic detection of lung nodules is an important problem in computer analysis of chest radiographs. In this paper, we propose a novel algorithm for isolating lung abnormalities (nodules) from spiral chest low-dose CT (LDCT) scans. The proposed algorithm consists of three main steps. The first ste...
Autores principales: | El-Baz, Ayman, Elnakib, Ahmed, Abou El-Ghar, Mohamed, Gimel'farb, Georgy, Falk, Robert, Farag, Aly |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3590446/ https://www.ncbi.nlm.nih.gov/pubmed/23509444 http://dx.doi.org/10.1155/2013/517632 |
Ejemplares similares
-
Machine Learning Applications in Medical Image Analysis
por: El-Baz, Ayman, et al.
Publicado: (2017) -
3D Kidney Segmentation from Abdominal Images Using Spatial-Appearance Models
por: Khalifa, Fahmi, et al.
Publicado: (2017) -
Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies
por: El-Baz, Ayman, et al.
Publicado: (2013) -
Lung Imaging Data Analysis
por: El-Baz, Ayman, et al.
Publicado: (2013) -
A fast stochastic framework for automatic MR brain images segmentation
por: Ismail, Marwa, et al.
Publicado: (2017)