A Dirichlet process mixture model for automatic (18)F-FDG PET image segmentation: Validation study on phantoms and on lung and esophageal lesions
(2016)
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.
Id prodotto:
91896
Handle IRIS:
11562/941157
ultima modifica:
2 dicembre 2022
Citazione bibliografica:
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. 5
, 2016
, pp. 2491-2507