Automated identification of brain tumors from single MR images based on segmentation with refined patient-specific priors

Frontiers in Neuroscience

Volumn , Issue 7 DEC, 2013, Pages

  Sanjuán, Ana ^a,b   Price, Cathy J ^a   Mancini, Laura ^c   Josse, Goulven ^d   Grogan, Alice ^a   Yamamoto, Adam K ^c   Geva, Sharon ^e   Leff, Alex P ^a,f   Yousry, Tarek A ^c   Seghier, Mohamed L ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITAT JAUME I   (Spain)

^c NATIONAL HOSPITAL FOR NEUROLOGY AND NEUROSURGERY   (United Kingdom)

^d PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

^e UNIVERSITY COLLEGE LONDON   (United Kingdom)

^f UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Automatic lesion identification; Fuzzy clustering; MRI; Segmentation; Spatial normalization

Indexed keywords

ADULT; ARTICLE; ASTROCYTOMA; BRAIN TUMOR; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; GLIOBLASTOMA; GLIOMA; HUMAN; IMAGE ANALYSIS; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; OLIGODENDROGLIOMA; TUMOR CLASSIFICATION;

EID: 84898025754     PISSN: 16624548     EISSN: 1662453X     Source Type: Journal    
DOI: 10.3389/fnins.2013.00241     Document Type: Article

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