Medical image segmentation using 3-D seeded region growing

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3034, Issue , 1997, Pages 900-910

  Justice, R Kyle ^a   Stokely, Ernest M ^b   Strobel, John S ^a   Ideker, Raymond E ^a   Smith, William M ^a  

^a UNIVERSITY OF ALABAMA SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

Author keywords

Infarction; Magnetic resonance imaging; Region growing; Segmentation

Indexed keywords

ATOMS; COMPUTATIONAL EFFICIENCY; D REGION; DATA STRUCTURES; DIGITAL IMAGE STORAGE; FILE ORGANIZATION; FORMALDEHYDE; IMAGE PROCESSING; IMAGE SEGMENTATION; IMAGING SYSTEMS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; RESONANCE; SEED; THREE DIMENSIONAL;

BLOOD POOLS; BRAIN VOLUMES; DATA SETS; FLEXIBLE FRAMEWORKS; FORMALIN; HIGH RESOLUTIONS; IMAGING DATUMS; INFARCTION; INTENSITY THRESHOLDS; MEDICAL IMAGE SEGMENTATIONS; MR IMAGES; PARTICULAR IMAGING; REGION GROWING; REGION GROWING ALGORITHMS; REGION GROWTHS; SEED POINTS; SEED SELECTIONS; SEEDED REGION GROWING; SEGMENTATION; SEGMENTATION TASKS; SEMI AUTOMATICS;

MEDICAL IMAGING;

EID: 37949020746     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.274179     Document Type: Conference Paper

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