Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13657
Title: Lung segmentation and tumor detection from CT thorax volumes of FDG PET-CT scans by template registration and incorporation of functional information
Authors: Ballangan, C
Wang, X
Feng, D
Eberl, S
Fulham, M
Keywords: Cancer
Computed tomography
Diseases
Image segmentation
Information technology
Lesions
Lung neoplasms
Positron emission tomography
Thorax
Tumors
Issue Date: 2008
Publisher: IEEE
Source: IEEE Nuclear Science Symposium Conference Record, 2008 : NSS '08, 19-25 October 2008, Dresden, Germany, p. 5349-5353 How to cite?
Journal: IEEE Nuclear Science Symposium Conference Record, 2008 : NSS '08, 19-25 October 2008, Dresden, Germany 
Abstract: Automatic segmentation and detection of lungs and tumors in FDG PET-CT images is potentially beneficial in the diagnosis and staging of patients with non-small cell lung cancer (NSCLC). However, simultaneous lung segmentation and tumor detection is not a trivial task, particularly due to noise in the datasets, proximity of the lung lesion to the mediastinum and chest wall in certain instances, and disease involvement of non-enlarged lymph nodes.
URI: http://hdl.handle.net/10397/13657
ISBN: 978-1-4244-2714-7
978-1-4244-2715-4 (E-ISBN)
ISSN: 1095-7863
DOI: 10.1109/NSSMIC.2008.4774441
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

6
Citations as of May 16, 2017

Page view(s)

34
Last Week
0
Last month
Checked on Jun 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.