Computer-aided grading of neuroblastic differentiation: Multi-resolution and multi-classifier approach

Proceedings - International Conference on Image Processing, ICIP

Volumn 5, Issue , 2007, Pages

  Kong, Jun ^a,b   Sertel, Olcay ^a,b   Shimada, Hiroyuki ^c   Boyer, Kim ^a   Saltz, Joel ^b   Gurcan, Metin ^b  

^a The Ohio State University   (United States)

^b OHIO STATE UNIVERSITY   (United States)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Classifier combination; Image segmentation; Multi resolution; Neuroblastoma; Pattern classification

Indexed keywords

AUTOMATION; GRADING; IMAGE SEGMENTATION; MAXIMUM PRINCIPLE; PATTERN RECOGNITION;

AUTOMATED FEATURES; CLASSIFIER COMBINATION; COARSE-TO-FINE STRATEGY; COMPUTATIONAL COSTS; COMPUTER-AIDED SYSTEMS; EXPECTATION-MAXIMIZATION ALGORITHMS; MULTIRESOLUTION SCHEME; NEUROBLASTOMAS;

IMAGE PROCESSING;

EID: 44349091541     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2007.4379881     Document Type: Conference Paper

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