Building automation tools to calculate trichloroethylene level in human liver using - Case study: Images of white mouse liver

Author

Febrian, A. ; Elly Matul, I. ; Agus S, I. Md ; Fajar, M. ; Jatmiko, W. ; Ramdhan, D.H. ; Bowolakso, A. ; Mursanto, Petrus

Author_Institution

Fac. of Comput. Sci., Univ. Indonesia, Depok, Indonesia

fYear

2011

fDate

6-9 Nov. 2011

Firstpage

373

Lastpage

378

Abstract

Trichloroethylene (TRI) is chlorinated solvent which has been used in various materials for industrial and daily task, such as dry-cleaners, ink composer, and medicine ingredients. It´s has been known that TRI can penetrate human liver, and prolong exposure can evoke permanent damage to liver or cancer. In this research, we tried to create an automation tool that can help us analyzed and predict TRI level in human liver. The prediction will be based on liver images which analyzed using FCM, BPNNs, FLVQ, or FLVQ-PSO. In this research, the images of white mice liver that have been exposed to TRI are used. Our experiments show that the best accuracy achieved by BPNNs and 45 features from images which have been processed with KPCA. This combination accuracy is 99.12%.

Keywords

biochemistry; health hazards; liver; organic compounds; solvents (industrial); toxicology; water pollution; BPNN; FCM; FLVQ-PSO; KPCA; automation tools; cancer; chlorinated solvent; dry-cleaners; exposure; human liver; ink composer; liver damage; medicine ingredients; trichloroethylene level; white mouse liver images; Biomedical imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Micro-NanoMechatronics and Human Science (MHS), 2011 International Symposium on

Conference_Location

Nagoya

ISSN

Pending

Print_ISBN

978-1-4577-1360-6

Type

conf

DOI

10.1109/MHS.2011.6102211

Filename

6102211