Fully automatic segmentation of diffuse large B cell lymphoma lesions on 3D FDG-PET/CT for total metabolic tumour volume prediction using a convolutional neural network.

Purpose: Lymphoma lesion detection and segmentation on whole-body FDG-PET/CT are a challenging task because of the diversity of involved nodes, organs or physiological uptakes. We sought to investigate the performances of a three-dimensional (3D) convolutional neural network (CNN) to automatically s...

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Publicado en:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 48; no. 5; pp. 1362 - 1371
Autores principales:	Blanc-Durand, Paul, Jégou, Simon, Kanoun, Salim, Berriolo-Riedinger, Alina, Bodet-Milin, Caroline, Kraeber-Bodéré, Françoise, Carlier, Thomas, Le Gouill, Steven, Casasnovas, René-Olivier, Meignan, Michel, Itti, Emmanuel
Formato:	Journal Article
Publicado:	Springer Nature May2021
Acceso en línea:	Ver este registro en EBSCOhost