Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting

Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting

For patients suffering from brain tumor, prognosis estimation and treatment decisions are made by a multidisciplinary team based on a set of preoperative MR scans. Currently, the lack of standardized and automatic methods for tumor detection and generation of clinical reports, incorporating a wide r...

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Bibliographic Details
Main Authors: David Bouget, André Pedersen, Asgeir S. Jakola, Vasileios Kavouridis, Kyrre E. Emblem, Roelant S. Eijgelaar, Ivar Kommers, Hilko Ardon, Frederik Barkhof, Lorenzo Bello, Mitchel S. Berger, Marco Conti Nibali, Julia Furtner, Shawn Hervey-Jumper, Albert J. S. Idema, Barbara Kiesel, Alfred Kloet, Emmanuel Mandonnet, Domenique M. J. Müller, Pierre A. Robe, Marco Rossi, Tommaso Sciortino, Wimar A. Van den Brink, Michiel Wagemakers, Georg Widhalm, Marnix G. Witte, Aeilko H. Zwinderman, Philip C. De Witt Hamer, Ole Solheim, Ingerid Reinertsen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Neurology
Subjects:
metastasis
meningioma
glioma
RADS
MRI
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.932219/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2022.932219/full

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