On image segmentation methods applied to ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
On image segmentation methods applied to glioblastoma: state of art and new trends
Auteur(s) :
Dupont, Clément [Auteur]
Thérapies Laser Assistées par l'Image pour l'Oncologie - U 1189 [ONCO-THAI]
Betrouni, N. [Auteur]
Thérapies Laser Assistées par l'Image pour l'Oncologie - U 1189 [ONCO-THAI]
Reyns, N. [Auteur]
Thérapies Laser Assistées par l'Image pour l'Oncologie - U 1189 [ONCO-THAI]
Vermandel, M. [Auteur]
Thérapies Laser Assistées par l'Image pour l'Oncologie - U 1189 [ONCO-THAI]
Thérapies Laser Assistées par l'Image pour l'Oncologie - U 1189 [ONCO-THAI]
Betrouni, N. [Auteur]
Thérapies Laser Assistées par l'Image pour l'Oncologie - U 1189 [ONCO-THAI]
Reyns, N. [Auteur]
Thérapies Laser Assistées par l'Image pour l'Oncologie - U 1189 [ONCO-THAI]
Vermandel, M. [Auteur]
Thérapies Laser Assistées par l'Image pour l'Oncologie - U 1189 [ONCO-THAI]
Titre de la revue :
Innovation and Research in BioMedical engineering
Pagination :
131-143
Éditeur :
Elsevier Masson
Date de publication :
2016
ISSN :
1959-0318
Mot(s)-clé(s) en anglais :
glioblastoma multiform
radiation oncology
high-grade glioma treatment
segmentation
neuro-oncology
targeted therapies
radiation oncology
high-grade glioma treatment
segmentation
neuro-oncology
targeted therapies
Discipline(s) HAL :
Sciences du Vivant [q-bio]/Cancer
Sciences du Vivant [q-bio]/Neurosciences [q-bio.NC]
Sciences du Vivant [q-bio]/Ingénierie biomédicale/Imagerie
Sciences du Vivant [q-bio]/Neurosciences [q-bio.NC]
Sciences du Vivant [q-bio]/Ingénierie biomédicale/Imagerie
Résumé en anglais : [en]
Because of high heterogeneity and invasiveness, treatment of GlioBlastoma Multiform (GBM) still remains a complex challenge. Several recent advanced therapies have improved precision of treatment deliverance. Multimodality ...
Lire la suite >Because of high heterogeneity and invasiveness, treatment of GlioBlastoma Multiform (GBM) still remains a complex challenge. Several recent advanced therapies have improved precision of treatment deliverance. Multimodality imaging plays an increasingly important role in this process and images segmentation has become an essential part of the pipeline of standard treatment planning system. With the sophistication of multimodality information, the development of reliable and robust segmentation algorithms to overcome manual segmentation and optimize targeted treatment is highly expected. In this paper, we first introduce targeted therapies applied in the GBM clinical care, from routine or research. Different segmentation methods from state of the art are highlighted to achieve GBM delineation. New trends in GBM segmentation such as machine learning and multimodal features are discussed. These additional frameworks may achieve segmentation with refining capacities, active tumour probability mapping and, even, tumour relapse prediction capacities.Lire moins >
Lire la suite >Because of high heterogeneity and invasiveness, treatment of GlioBlastoma Multiform (GBM) still remains a complex challenge. Several recent advanced therapies have improved precision of treatment deliverance. Multimodality imaging plays an increasingly important role in this process and images segmentation has become an essential part of the pipeline of standard treatment planning system. With the sophistication of multimodality information, the development of reliable and robust segmentation algorithms to overcome manual segmentation and optimize targeted treatment is highly expected. In this paper, we first introduce targeted therapies applied in the GBM clinical care, from routine or research. Different segmentation methods from state of the art are highlighted to achieve GBM delineation. New trends in GBM segmentation such as machine learning and multimodal features are discussed. These additional frameworks may achieve segmentation with refining capacities, active tumour probability mapping and, even, tumour relapse prediction capacities.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Source :
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