Semi-supervised segmentation of MRI stroke studies

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3034, Issue , 1997, Pages 437-448

  Soltanian Zadeh, Hamid ^a,b   Windham, Joe P ^a   Robbins, Linda ^a  

^a HENRY FORD HOSPITAL   (United States)

^b UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Cluster analysis; Computer aided diagnosis; Computer aided treatment; Image analysis; Image processing; Image segmentation; Magnetic resonance imaging (MRI)

Indexed keywords

ATOMS; CLUSTER ANALYSIS; COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; DIGITAL IMAGE STORAGE; HISTOLOGY; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SEGMENTATION; IMAGING SYSTEMS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; RESONANCE; TISSUE;

BRAIN TISSUES; BRAIN VOLUMES; CONVENTIONAL METHODS; DATA ANALYSIS TECHNIQUES; EDGE TRACKING; EDGE-PRESERVING; FILTERING APPROACHES; GRAY MATTERS; K-MEANS CLUSTERING; LOW PASSES; MAGNETIC RESONANCE IMAGES; MR IMAGES; NORMAL TISSUES; PARTIAL VOLUMES; SEGMENTED REGIONS; SELF-ORGANIZING; STROKE PATIENTS; SUPERVISED SEGMENTATIONS; TISSUE BOUNDARIES; TISSUE TYPES; WHITE MATTERS;

EDGE DETECTION;

EID: 0001387017     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.274130     Document Type: Conference Paper

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