Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks
Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of residual tumor from post-operative MR images is essential. The current standard method for estimating it is subject to high...
- Authors
 - Ragnhild Holden Helland
 - Alexandros Ferles
 - Andre Pedersen
 - Ivar Kommers
 - Hilko Ardon
 - Frederik Barkhof
 - Lorenzo Bello
 - Mitchel S. Berger
 - Tora Dunås
 - Marco Conti Nibali
 - Julia Furtner
 - Shawn Hervey-Jumper
 - Albert J. S. Idema
 - Barbara Kiesel
 - Rishi Nandoe Tewari
 - Emmanuel Mandonnet
 - Domenique M. J. Müller
 - Pierre A. Robe
 - Marco Rossi
 - Lisa Millgård Sagberg
 - Tommaso Sciortino
 - Tom Aalders
 - Michiel Wagemakers
 - Georg Widhalm
 - Marnix G. Witte
 - Aeilko H. Zwinderman
 - Paulina Luiza Majewska
 - Asgeir Store Jakola
 - Ole Skeidsvoll Solheim
 - Philip C. De Witt Hamer
 - Ingerid Reinertsen
 - Roelant S. Eijgelaar
 - David Bouget
 - Year
 - 2023
 - Type
 - Academic article