Title :
FNLVQ design and implementation in FPGA to estimate Trichloroethylene in white mouse liver images
Author :
Febrian, A. ; Fajar, M. ; Tawakal, M.I. ; Imah, E.M. ; Jatmiko, W. ; Ramdani, D.H. ; Bowolaksono, A. ; Mursanto, P.
Author_Institution :
Fac. of Comput. Sci., Univ. Indonesia, Depok, Indonesia
Abstract :
Embedded systems are more popular these days, including in biomedical field. There have been so many devices developed in this field, yet there are also so many open problems that waiting to be solved. One of the open problems is determining Trichloroethylene degree in human heart using Fuzzy-Neuro Learning Vector Quantization. These technique then implemented in Spartan®-3AN board, which is has lower capability compare to computer. In this paper, we show our approach in implementing FNLVQ in Spartan®-3AN board. Our testing shows that the FNLVQ accuracy is only degrade by 2 point.
Keywords :
cardiology; field programmable gate arrays; fuzzy neural nets; liver; medical image processing; FNLVQ; FPGA; Spartan-3AN board; biomedical field; embedded system; fuzzy-neuro learning vector quantization; human heart; trichloroethylene; white mouse liver image; Computer architecture; Feature extraction; Field programmable gate arrays; Liver; Neurons; Read only memory; Vectors;
Conference_Titel :
Advanced Computer Science and Information System (ICACSIS), 2011 International Conference on
Conference_Location :
Jakarta
Print_ISBN :
978-1-4577-1688-1
