Image features for brain lesion segmentation using random forests

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9556, Issue , 2016, Pages 119-130

  Maier, Oskar ^a   Wilms, Matthias ^a   Handels, Heinz ^a  

^a UNIVERSITY OF LÜBECK   (Germany)

Author keywords

Acute; Brain MR; BRATS 2015; Glioma; Ischemic stroke; ISLES 2015; Lesion segmentation; Magnetic resonance imaging; MRI; Random forest; RDF; SISS; SPES; Sub acute; Tumor

Indexed keywords

DECISION TREES; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; TUMORS;

ACUTE; BRAIN MR; BRATS 2015; GLIOMA; ISCHEMIC STROKES; ISLES 2015; LESION SEGMENTATIONS; RANDOM FORESTS; SISS; SPES; SUB-ACUTE;

IMAGE SEGMENTATION;

EID: 84961588270     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-30858-6_11     Document Type: Conference Paper

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