Image analysis for automated assessment of grade of neuroblastic differentiation

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Volumn , Issue , 2007, Pages 61-64

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

^a Ohio State University   (United States)

^b OHIO STATE UNIVERSITY   (United States)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Color space; Image segmentation; Neuroblastic differentiation; Neuroblastoma; Pattern classification

Indexed keywords

FISHER-RAO CRITERION; NEUROBLASTIC DIFFERENTIATION; NEUROBLASTOMA; PERIPHERAL NEUROBLASTIC TUMORS (PNT);

ALGORITHMS; IMAGE ANALYSIS; IMAGE SEGMENTATION; PATHOLOGY; PATTERN RECOGNITION; TUMORS;

MEDICAL IMAGING;

EID: 36348981635     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2007.356788     Document Type: Conference Paper

References (6)

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2. H. Shimada et.al., "The International Neuroblastoma Pathology Classification (the Shimada System)", American Cancer Society, Vol. 86, No. 2, pp.364-372, 1999.
3. th International Conference of the IEEE Engineering in Medicine and Biology Society Conference, New York, NY, August 2006.
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5. N.R. Pal, and S.K. Pal, "A Review on Image Segmentation Techniques", Pattern Recognition, Vol. 26, pp.1277-1294, 1993.
6. G.J. McLachlan, "Discriminant Analysis and Statistical Pattern Recognition", Wiley-Interscience, 1992.