Validation of Performance Homogeneity of Chan-Vese Model on Selected Tumour Cells

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dc.contributor.authorAppati, J.K.
dc.contributor.authorBadzi, F.I.
dc.contributor.authorSoli, M.A.T.
dc.contributor.authorNwolley, S.J.
dc.contributor.authorDenwar, I.W.
dc.date.accessioned2021-11-04T10:10:33Z
dc.date.available2021-11-04T10:10:33Z
dc.date.issued2021
dc.descriptionResearch Articleen_US
dc.description.abstractThis study aims to analyze the Chan-Vese model’s performance using a variety of tumor images. The processes involve the tumors’ segmentation, detecting the tumors, identifying the segmented tumor region, and extracting the features before classification occurs. In the findings, the Chan-Vese model performed well with brain and breast tumor segmentation. The model on the skin performed poorly. The brain recorded DSC 0.6949903, Jaccard 0.532558; the time elapsed 7.389940 with an iteration of 100. The breast recorded a DSC of 0.554107, Jaccard 0.383228; the time elapsed 9.577161 with an iteration of 100. According to this study, a higher DSC does not signify a well-segmented image, as the breast had a lower DSC than the skin. The skin recorded a DSC of 0.620420, Jaccard 0.449717; the time elapsed 17.566681 with an iteration of 200.en_US
dc.identifier.otherDOI: 10.4018/IJEHMC.20211101.oa7
dc.identifier.urihttp://ugspace.ug.edu.gh/handle/123456789/37017
dc.language.isoenen_US
dc.publisherInternational Journal of E-Health and Medical Communicationsen_US
dc.subjectChan-Veseen_US
dc.subjectDeformable Modelsen_US
dc.subjectDice Similarity Coefficienten_US
dc.subjectLevel Seten_US
dc.subjectTumoren_US
dc.titleValidation of Performance Homogeneity of Chan-Vese Model on Selected Tumour Cellsen_US
dc.typeArticleen_US

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