Publication:
Automated Feature Description of Follicle Size in Assisted Reproductive Treatment

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dc.contributor.authorSahrim, Men_US
dc.contributor.authorRahman, USAen_US
dc.contributor.authorWan Zakiah Wan Ismailen_US
dc.contributor.authorIsmail I.en_US
dc.contributor.authorJamaludin J.en_US
dc.contributor.authorBalakrishnan, SRen_US
dc.date.accessioned2024-05-29T03:25:18Z
dc.date.available2024-05-29T03:25:18Z
dc.date.issued2018
dc.descriptionVol. 10 No. 1 (2018)en_US
dc.description.abstractIn assisted reproductive treatment, monitoring of follicular size using serial ultrasound is essential to access ovarian response. Traditional method requires doctors to measure the follicle size manually which will lead to inaccurate findings. As for more consistent and reliable parameter of follicular growth, an automated feature description may offer better accuracy in estimating to the response. In this study, by using two-dimensional ultrasound to acquire data from the ovaries, the ultrasound result will indicate the feature description automatically without manual calculation. This automated feature description is developed based on image processing technique using canny edge-detection method in MATLAB. It provides the analysis of the features based on area, perimeter, compactness, major and minor axis and centroid dataset to identify the follicle sizeen_US
dc.identifier.citationIsmail, I. (2018). Automated Feature Description of Follicle Size in Assisted Reproductive Treatment. International Journal of Integrated Engineering, 10(1). Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/2505en_US
dc.identifier.doi10.30880/ijie.2018.10.01.027
dc.identifier.epage185
dc.identifier.issn2229-838X
dc.identifier.issue1
dc.identifier.scopusWOS:000436854600028
dc.identifier.spage182
dc.identifier.urihttps://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/2505
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11933
dc.identifier.volume10
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherUniv Tun Hussein Onn Malaysiaen_US
dc.relation.ispartofInternational Journal Of Integrated Engineeringen_US
dc.sourceWeb Of Science (ISI)
dc.subjectRenewable fuelen_US
dc.subjectethanolen_US
dc.subjectnumerical simulationen_US
dc.subjectauto ignitionen_US
dc.subjectsingle-step mechanismen_US
dc.titleAutomated Feature Description of Follicle Size in Assisted Reproductive Treatmenten_US
dc.typeArticleen_US
dspace.entity.typePublication

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