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13 p, 1.3 MB Convolutional neural networks for PET functional volume fully automatic segmentation : development and validation in a multi-center setting / Iantsen, A. (LaTIM. INSERM. UMR 1101. University Brest) ; Ferreira, M. (GIGA-CRC in vivo Imaging. University of Liège) ; Lucia, F. (LaTIM. INSERM. UMR 1101. University Brest) ; Jaouen, V. (LaTIM. INSERM. UMR 1101. University Brest) ; Reinhold, C. (Department of Radiology. McGill University Health Centre (MUHC)) ; Bonaffini, P. (Department of Radiology. McGill University Health Centre (MUHC)) ; Alfieri, J. (Department of Radiation Oncology. McGill University Health Centre (MUHC)) ; Rovira Negre, Ramon (Institut d'Investigació Biomèdica Sant Pau) ; Masson, I. (Department of Radiation Oncology. Institut de Cancérologie de l'Ouest (ICO)) ; Robin, P. (Nuclear Medicine Department. University Hospital) ; Mervoyer, A. (Department of Radiation Oncology. Institut de Cancérologie de l'Ouest (ICO)) ; Rousseau, C. (Nuclear Medicine Department. Institut de Cancérologie de l'Ouest (ICO)) ; Kridelka, F. (Division of Oncological Gynecology. University Hospital of Liège) ; Decuypere, M. (Division of Oncological Gynecology. University Hospital of Liège) ; Lovinfosse, P. (Division of Nuclear Medicine and Oncological Imaging. University Hospital of Liège) ; Pradier, O. (LaTIM. INSERM. UMR 1101. University Brest) ; Hustinx, R. (GIGA-CRC in vivo Imaging. University of Liège) ; Schick, U. (LaTIM. INSERM. UMR 1101. University Brest) ; Visvikis, D. (LaTIM. INSERM. UMR 1101. University Brest) ; Hatt, M. (LaTIM. INSERM. UMR 1101. University Brest)
Purpose: In this work, we addressed fully automatic determination of tumor functional uptake from positron emission tomography (PET) images without relying on other image modalities or additional prior constraints, in the context of multicenter images with heterogeneous characteristics. [...]
2021 - 10.1007/s00259-021-05244-z
European Journal of Nuclear Medicine and Molecular Imaging, Vol. 48 Núm. 11 (october 2021) , p. 3444-3456  
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