Tumor invasion margin on the Riemannian space of brain fibers

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

Volumn 5762 LNCS, Issue PART 2, 2009, Pages 531-539

  Cobzas, Dana ^a   Mosayebi, Parisa ^a   Murtha, Albert ^a   Jagersand, Martin ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN TISSUE; CANCEROUS CELLS; CLINICAL PRACTICES; EUCLIDEAN DISTANCE; GEODESIC DISTANCES; GLIOMA CELLS; MRI SCAN; NERVE FIBERS; PREDICTED GROWTH; RADIATION TREATMENTS; RIEMANNIAN MANIFOLD; RIEMANNIAN SPACES; TUMOR INVASION;

COMPUTERIZED TOMOGRAPHY; GEODESY; MEDICAL COMPUTING;

TUMORS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN TUMOR; CANCER INVASION; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; GLIOMA; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BRAIN NEOPLASMS; DIFFUSION MAGNETIC RESONANCE IMAGING; GLIOMA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NEOPLASM INVASIVENESS; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77956516139     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_65     Document Type: Conference Paper

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