TY - GEN
T1 - Pathological image segmentation for neuroblastoma using the GPU
AU - Ruiz, Antonio
AU - Kong, Jun
AU - Ujaldon, Manuel
AU - Boyer, Kim
AU - Saltz, Joel
AU - Gurcan, Metin
PY - 2008
Y1 - 2008
N2 - We present a novel use of GPUs (Graphics Processing Units) for the analysis of histopathological images of neuroblastoma, a childhood cancer. Thanks to the advent of modern microscopy scanners, whole-slide histopathological images can now be acquired but the computational costs to analyze these images using sophisticated image analysis algorithms are usually high. In this study, we have implemented previously developed image analysis algorithms using GPUs to exploit their outstanding processing power and memory bandwidth. The resulting GPU code was contrasted and combined with a C++ implementation on a multicore CPU to maximize parallelism on emerging architectures. Our codes were tested on different classes of images, with performance gain factors about 5.6x when the execution time of a Matlab code running on the CPU is compared with a code running jointly on CPU and GPU.
AB - We present a novel use of GPUs (Graphics Processing Units) for the analysis of histopathological images of neuroblastoma, a childhood cancer. Thanks to the advent of modern microscopy scanners, whole-slide histopathological images can now be acquired but the computational costs to analyze these images using sophisticated image analysis algorithms are usually high. In this study, we have implemented previously developed image analysis algorithms using GPUs to exploit their outstanding processing power and memory bandwidth. The resulting GPU code was contrasted and combined with a C++ implementation on a multicore CPU to maximize parallelism on emerging architectures. Our codes were tested on different classes of images, with performance gain factors about 5.6x when the execution time of a Matlab code running on the CPU is compared with a code running jointly on CPU and GPU.
KW - Computer-aided prognosis
KW - Differentiation grading
KW - GPU
KW - Neuroblastoma
KW - Segmentation
UR - https://www.scopus.com/pages/publications/51049119406
U2 - 10.1109/ISBI.2008.4540991
DO - 10.1109/ISBI.2008.4540991
M3 - Conference contribution
AN - SCOPUS:51049119406
SN - 9781424420032
T3 - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI
SP - 296
EP - 299
BT - 2008 5th IEEE International Symposium on Biomedical Imaging
T2 - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
Y2 - 14 May 2008 through 17 May 2008
ER -