Publication: ROI detection of reading process using ANFIS method
dc.contributor.author | Pongphan Pongpanitanont | en_US |
dc.contributor.author | Wichian Sittiprapaporn | en_US |
dc.contributor.author | Thunyanoot Prasertsakul | en_US |
dc.contributor.author | Warakorn Charoensuk | en_US |
dc.contributor.other | Mahidol University | en_US |
dc.contributor.other | Mahasarakham University | en_US |
dc.date.accessioned | 2018-05-03T08:11:02Z | |
dc.date.available | 2018-05-03T08:11:02Z | |
dc.date.issued | 2011-12-01 | en_US |
dc.description.abstract | This paper studies the application of the adaptive neuro-fuzzy inference system (ANFIS). We propose the ANFIS used for region of interest (ROI) detection in brain fMRI images. The ROI is used for estimating the tissue activity by Blood-Oxygen Level Dependent technique (BOLD). The result shows the ANFIS model can be used to fit the image time-intensity data. A 3 Gaussian membership functions were proposed to estimate the time-intensity relation. The result shows the rate of time-intensity relation to determine the tissue activity. The tissue activity should be determined the normal pattern of reading process. © 2011 IEEE. | en_US |
dc.identifier.citation | BMEiCON-2011 - 4th Biomedical Engineering International Conference. (2011), 258-261 | en_US |
dc.identifier.doi | 10.1109/BMEiCon.2012.6172065 | en_US |
dc.identifier.other | 2-s2.0-84860425328 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/11874 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84860425328&origin=inward | en_US |
dc.subject | Engineering | en_US |
dc.title | ROI detection of reading process using ANFIS method | en_US |
dc.type | Conference Paper | en_US |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84860425328&origin=inward | en_US |