Pathological image segmentation for neuroblastoma using the GPU

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Volumn , Issue , 2008, Pages 296-299

  Ruiz, Antonio ^a   Kong, Jun ^b,c   Ujaldon, Manuel ^a   Boyer, Kim ^b   Saltz, Joel ^c   Gurcan, Metin ^c  

^a UNIVERSITY OF MÁLAGA   (Spain)

^b The Ohio State University   (United States)

^c OHIO STATE UNIVERSITY   (United States)

Author keywords

Computer aided prognosis; Differentiation grading; GPU; Neuroblastoma; Segmentation

Indexed keywords

DATA STORAGE EQUIPMENT; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE SEGMENTATION; MATLAB; TECHNICAL PRESENTATIONS;

COMPUTER-AIDED PROGNOSIS; DIFFERENTIATION GRADING; GPU; NEUROBLASTOMA; SEGMENTATION;

CODES (SYMBOLS);

EID: 51049119406     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2008.4540991     Document Type: Conference Paper

References (7)

1. F. Alexander, "Neuroblastoma," The Urologic Clinics of North America, vol. 27, pp. 383-392, 2000.
2. L.A. Teot, R.S.A. Khayat, S. Qualman, G. Reaman, and D. Parham, "The problems and promise of central pathology review: Development of a standardized procedure for the children's oncology group," Pediatric and Developmental Pathology, vol. 10, pp. 199-207, 2007.
3. J. Kong, H. Shimada, K. Boyer, J. Saltz, and M. Gurcan, "Image analysis for automated assessment of grade of neuroblastic differentiation, " in Intl. Symposium on Biomedical Imaging, 2007, pp. 61-64.
4. J. Kong, O. Sertel, H. Shimada, K. Boyer, J. Saltz, and M. Gurcan, "Computer-aided grading of neuroblastic differentiation: Multi-resolution and multi-classifier approach," in Proceedings IEEE ICIP 2007.
5. G.J. McLachlan, "Discriminant analysis and statistical pattern recognition," Wiley-Interscience, 1992.
6. CUDA, http://developer.nvidia.com/object/cuda.html.
7. GPGPU, A web site dedicated to the general-purpose on the GPU: http://www.gpgpu.org.