Publication:
Automatic feature description of Endometrioma in Ultrasonic images of the ovary

dc.contributor.authorSahrim, Men_US
dc.contributor.authorAziz, ANAen_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.accessioned2024-05-29T02:53:40Z
dc.date.available2024-05-29T02:53:40Z
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
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.epage188
dc.identifier.issn2229-838X
dc.identifier.issue1
dc.identifier.scopusWOS:000436854600029
dc.identifier.spage186
dc.identifier.urihttps://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/2507
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11414
dc.identifier.volume10
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherUniv Tun Hussein Onn Malaysiaen_US
dc.relation.ispartofInternational Journal Of Integrated Engineering
dc.sourceWeb Of Science (ISI)
dc.subjectEndometrioma cystsen_US
dc.subjectultra-sonographicen_US
dc.subjectpattern recognitionen_US
dc.subjectimage processing techniqueen_US
dc.subjectultrasound scanen_US
dc.titleAutomatic feature description of Endometrioma in Ultrasonic images of the ovaryen_US
dc.typeArticleen_US
dspace.entity.typePublication

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