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

fYear

2011

fDate

17-18 Dec. 2011

Firstpage

119

Lastpage

124

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Science and Information System (ICACSIS), 2011 International Conference on

Conference_Location

Jakarta

Print_ISBN

978-1-4577-1688-1

Type

conf

Filename

6140800