Automatic lesion detection and segmentation of (18)F-FET PET in gliomas: A full 3D U-Net convolutional neural network study

INTRODUCTION: Amino-acids positron emission tomography (PET) is increasingly used in the diagnostic workup of patients with gliomas, including differential diagnosis, evaluation of tumor extension, treatment planning and follow-up. Recently, progresses of computer vision and machine learning have be...

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Detalles Bibliográficos
Autores principales: Blanc-Durand, Paul, Van Der Gucht, Axel, Schaefer, Niklaus, Itti, Emmanuel, Prior, John O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5898737/
https://www.ncbi.nlm.nih.gov/pubmed/29652908
http://dx.doi.org/10.1371/journal.pone.0195798

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5898737/
https://www.ncbi.nlm.nih.gov/pubmed/29652908
http://dx.doi.org/10.1371/journal.pone.0195798

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