Effective user interaction in online interactive semantic segmentation of glioblastoma magnetic resonance imaging

Interactive segmentation is a promising approach to solving the pervasive shortage of reference annotations for automated medical image processing. We focus on the challenging task of glioblastoma segmentation in magnetic resonance imaging using a random forest pixel classifier trained iteratively o...

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Dades bibliogràfiques
Publicat a:J Med Imaging (Bellingham)
Autors principals: Petersen, Jens, Bendszus, Martin, Debus, Jürgen, Heiland, Sabine, Maier-Hein, Klaus H.
Format: Artigo
Idioma:Inglês
Publicat: Society of Photo-Optical Instrumentation Engineers 2017
Matèries:
Image Processing
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5566286/
https://ncbi.nlm.nih.gov/pubmed/28840170
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.4.3.034001
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