The article "Measured PET Data Characterization with the Negative Binomial Distribution Model", written by Maria Filomena Santarelli, Vincenzo Positano, Luigi Landini was originally published Online First without open access. After publication in volume [37], issue [3], page [299-312] the author decided to opt for Open Choice and to make the article an open access publication. Therefore, the copyright of the article has been changed to (c) The Author(s) [2018] and the article is forthwith distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Measured PET Data Characterization with the Negative Binomial Distribution Model (vol 37, pg 299, 2017)

Santarelli Maria Filomena;
2020

Abstract

The article "Measured PET Data Characterization with the Negative Binomial Distribution Model", written by Maria Filomena Santarelli, Vincenzo Positano, Luigi Landini was originally published Online First without open access. After publication in volume [37], issue [3], page [299-312] the author decided to opt for Open Choice and to make the article an open access publication. Therefore, the copyright of the article has been changed to (c) The Author(s) [2018] and the article is forthwith distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
2020
Negative Binomial Distribution
PET
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/407629
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