Publications

A Dirichlet process mixture model for automatic (18)F-FDG PET image segmentation: Validation study on phantoms and on lung and esophageal lesions  (2016)

Authors:
Giri, Mariagrazia; Cavedon, Carlo; Mazzarotto, Renzo; Ferdeghini, Marco
Title:
A Dirichlet process mixture model for automatic (18)F-FDG PET image segmentation: Validation study on phantoms and on lung and esophageal lesions
Year:
2016
Type of item:
Articolo in Rivista
Tipologia ANVUR:
Articolo su rivista
Language:
Inglese
Referee:
Name of journal:
Medical Physics
ISSN of journal:
0094-2405
N° Volume:
43
Number or Folder:
5
Page numbers:
2491-2507
Keyword:
Dirichlet process mixture (DPM) , (18)F-fluorodeoxyglucose positron emission tomography ((18)F-FDG PET)
Short description of contents:
The aim of this study was to implement a Dirichlet process mixture (DPM) model for automatic tumor edge identification on (18)F-fluorodeoxyglucose positron emission tomography ((18)F-FDG PET) images by optimizing the parameters on which the algorithm depends, to validate it experimentally, and to test its robustness.
Product ID:
91896
Handle IRIS:
11562/941157
Last Modified:
December 2, 2022
Bibliographic citation:
Giri, Mariagrazia; Cavedon, Carlo; Mazzarotto, Renzo; Ferdeghini, Marco, A Dirichlet process mixture model for automatic (18)F-FDG PET image segmentation: Validation study on phantoms and on lung and esophageal lesions «Medical Physics» , vol. 43 , n. 52016pp. 2491-2507

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo IRIS

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