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Automatic feature description of endometrioma in ultrasonic images of the ovary

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dc.contributor.affiliationsFaculty of Engineering and Built Environment
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorSahrim M.en_US
dc.contributor.authorAziz A.N.A.en_US
dc.contributor.authorWan Zakiah Wan Ismailen_US
dc.contributor.authorIsmail I.en_US
dc.contributor.authorJamaludin J.en_US
dc.contributor.authorBalakrishnan S.R.en_US
dc.date.accessioned2024-05-28T08:24:24Z
dc.date.available2024-05-28T08:24:24Z
dc.date.issued2018
dc.description.abstractEndometriosis cyst or endometrium is commonly found in women with subfertility. Traditionally, medical technologies fail to detect the disease automatically and it is fully dependent on the doctors to determine the peritoneal disease where it may lead to inaccurate findings. A method of assessment may give more accurate detection without the need for surgical procedure, especially in monitoring disease recurrence. This will avoid surgical risk and will not delay the management. In this study, the feature description is developed using pattern recognition, involving image processing techniques; the ultrasonic images is used as input in which the region of interest of images, image segmentation, feature extraction are studied. � Penerbit UTHM.
dc.description.natureFinal
dc.identifier.citationWan Ismail, W. Z. (2018). Automatic feature description of Endometrioma in Ultrasonic images of the ovary. International Journal of Integrated Engineering, 10(1). Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/2507en_US
dc.identifier.doi10.30880/ijie.2018.10.01.028
dc.identifier.epage188
dc.identifier.issn2229838X
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85053704240
dc.identifier.spage186
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85053704240&doi=10.30880%2fijie.xx.xx.xxxx.xx.xxxx&partnerID=40&md5=59e2993a65093a7ce3127ddbcb2c896c
dc.identifier.urihttps://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/2507
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/8469
dc.identifier.volume10
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherPenerbit UTHMen_US
dc.relation.ispartofInternational Journal of Integrated Engineering
dc.sourceScopus
dc.subjectEndometrioma cysts
dc.subjectImage processing technique
dc.subjectPattern recognition
dc.subjectUltra-sonographic
dc.subjectUltrasound scan
dc.titleAutomatic feature description of endometrioma in ultrasonic images of the ovaryen_US
dc.typeArticleen_US
dspace.entity.typePublication

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