Prediction of cervical cancer recurrence using textural features extracted from <sup>18</sup>F-FDG PET images acquired with different scanners - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Oncotarget Année : 2017

Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners

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hal-02401383 , version 1 (09-12-2019)

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Sylvain Reuzé, Fanny Orlhac, Cyrus Chargari, Christophe Nioche, Elaine Johanna Limkin, et al.. Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners. Oncotarget, 2017, 8 (26), ⟨10.18632/oncotarget.17856⟩. ⟨hal-02401383⟩
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