3-D RPET-NET: Development of a 3-D PET Imaging Convolutional Neural Network for Radiomics Analysis and Outcome Prediction

A. Amyar (1) , S. Ruan (1) , I. Gardin (1, 2) , C. Chatelain (3) , P. Decazes (2) , R. Modzelewski (1, 2)

1 QuantIF-LITIS - Equipe Quantification en Imagerie Fonctionnelle
2 Service de médecine nucléaire [Rouen]
3 DocApp - LITIS - Equipe Apprentissage

Domaines: Imagerie médicale; Sciences du Vivant [q-bio]

A. Amyar, S. Ruan, I. Gardin, C. Chatelain, P. Decazes, et al.. 3-D RPET-NET: Development of a 3-D PET Imaging Convolutional Neural Network for Radiomics Analysis and Outcome Prediction. IEEE Transactions on Radiation and Plasma Medical Sciences, 2019, 3 (2), pp.225-231. ⟨10.1109/TRPMS.2019.2896399⟩. ⟨hal-02087838⟩