Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks.
Ragnhild Holden HellandAlexandros FerlesAndré PedersenIvar KommersHilko ArdonFrederik BarkhofLorenzo BelloMitchel S. BergerTora DunåsMarco Conti NibaliJulia FurtnerShawn Hervey-JumperAlbert J. S. IdemaBarbara KieselRishi Nandoe TewarieEmmanuel MandonnetDomenique M. J. MüllerPierre A. RobeMarco RossiLisa M. SagbergTommaso SciortinoTom AaldersMichiel WagemakersGeorg WidhalmMarnix G. WitteAeilko H. ZwindermanPaulina L. MajewskaAsgeir S. JakolaOle SolheimPhilip C. de Witt HamerIngerid ReinertsenRoelant S. EijgelaarDavid BougetPublished in: CoRR (2023)
Keyphrases
- multi modal
- post operative
- medical images
- quantitative and qualitative
- computer tomography
- multi modality
- image segmentation
- medical imaging
- mri images
- level set
- segmentation algorithm
- ct scans
- magnetic resonance imaging
- computational fluid dynamics
- brain tumors
- carotid artery
- brain structures
- blood pressure
- magnetic resonance images
- shape prior
- ct images
- high dimensional
- medical image analysis
- segmentation method
- intraoperative
- mr images
- anatomical structures
- pre operative
- magnetic resonance
- numerical simulations
- deformable models