Texture versus shape analysis for lung nodule similarity in computed tomography studies

Marwa N. Muhammad; Daniela S. Raicu; Jacob D. Furst; Ekarin Varutbangkul

doi:10.1117/12.771009

Texture versus shape analysis for lung nodule similarity in computed tomography studies

Marwa N. Muhammad
, Daniela S. Raicu
, Jacob D. Furst
, Ekarin Varutbangkul

Bryn Mawr College
DePaul University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Medical Imaging 2008
Subtitle of host publication	PACS and Imaging Informatics
DOIs	https://doi.org/10.1117/12.771009
State	Published - 2008
Event	Medical Imaging 2008: PACS and Imaging Informatics - San Diego, CA, United States Duration: Feb 20 2008 → Feb 21 2008

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	6919
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2008: PACS and Imaging Informatics
Country/Territory	United States
City	San Diego, CA
Period	2/20/08 → 2/21/08

ASJC Scopus Subject Areas

Electronic, Optical and Magnetic Materials
Biomaterials
Atomic and Molecular Physics, and Optics
Radiology Nuclear Medicine and imaging

Keywords

CAD systems
Co-occurrence matrices
Computed Tomography (CT)
Content-based image retrieval system (CBIR)
Gabor filters
Lung Image Data Consortium (LIDC)
Markov random fields
Shape features

Access to Document

10.1117/12.771009

Cite this

Texture versus shape analysis for lung nodule similarity in computed tomography studies. / Muhammad, Marwa N.; Raicu, Daniela S.; Furst, Jacob D. et al.
Medical Imaging 2008: PACS and Imaging Informatics. 2008. 69190I (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6919).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Muhammad, MN, Raicu, DS, Furst, JD & Varutbangkul, E 2008, Texture versus shape analysis for lung nodule similarity in computed tomography studies. in Medical Imaging 2008: PACS and Imaging Informatics., 69190I, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 6919, Medical Imaging 2008: PACS and Imaging Informatics, San Diego, CA, United States, 2/20/08. https://doi.org/10.1117/12.771009

@inproceedings{4dd9535d13da4e468012da6c2926415c,

title = "Texture versus shape analysis for lung nodule similarity in computed tomography studies",

keywords = "CAD systems, Co-occurrence matrices, Computed Tomography (CT), Content-based image retrieval system (CBIR), Gabor filters, Lung Image Data Consortium (LIDC), Markov random fields, Shape features",

author = "Muhammad, \{Marwa N.\} and Raicu, \{Daniela S.\} and Furst, \{Jacob D.\} and Ekarin Varutbangkul",

year = "2008",

doi = "10.1117/12.771009",

language = "English",

isbn = "9780819471031",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

booktitle = "Medical Imaging 2008",

note = "Medical Imaging 2008: PACS and Imaging Informatics ; Conference date: 20-02-2008 Through 21-02-2008",

}

TY - GEN

T1 - Texture versus shape analysis for lung nodule similarity in computed tomography studies

AU - Muhammad, Marwa N.

AU - Raicu, Daniela S.

AU - Furst, Jacob D.

AU - Varutbangkul, Ekarin

PY - 2008

Y1 - 2008

KW - CAD systems

KW - Co-occurrence matrices

KW - Computed Tomography (CT)

KW - Content-based image retrieval system (CBIR)

KW - Gabor filters

KW - Lung Image Data Consortium (LIDC)

KW - Markov random fields

KW - Shape features

UR - https://www.scopus.com/pages/publications/42949172920

UR - https://www.scopus.com/pages/publications/42949172920#tab=citedBy

U2 - 10.1117/12.771009

DO - 10.1117/12.771009

M3 - Conference contribution

AN - SCOPUS:42949172920

SN - 9780819471031

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2008

T2 - Medical Imaging 2008: PACS and Imaging Informatics

Y2 - 20 February 2008 through 21 February 2008

ER -

Texture versus shape analysis for lung nodule similarity in computed tomography studies

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this