Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation

Pattern Recognition

Volumn 42, Issue 6, 2009, Pages 1080-1092

  Kong, J ^a,d   Sertel, O ^a,d   Shimada, H ^b   Boyer, K L ^c   Saltz, J H ^d   Gurcan, M N ^d  

^a The Ohio State University   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^c RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^d OHIO STATE UNIVERSITY   (United States)

Author keywords

Grade of differentiation; Machine learning; Microscopy images; Multi resolution pathological image analysis; Neuroblastoma prognosis; Quantitative image analysis

Indexed keywords

COMPUTER GRAPHICS; HISTOLOGY; IMAGE ANALYSIS; LEARNING SYSTEMS; MICROSCOPIC EXAMINATION; MULTIRESOLUTION ANALYSIS; ROBOT LEARNING; TUMORS;

GRADE OF DIFFERENTIATION; MACHINE LEARNING; MICROSCOPY IMAGES; MULTI-RESOLUTION PATHOLOGICAL IMAGE ANALYSIS; NEUROBLASTOMA PROGNOSIS; QUANTITATIVE IMAGE ANALYSIS;

IMAGE PROCESSING;

EID: 59349094544     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2008.10.035     Document Type: Article

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