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

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

Justice Kwame Appati, Franklin Iron Badzi, Michael Agbo Tettey Soli, Stephane Jnr Nwolley, Ismail Wafaa Denwar
Copyright: © 2021 |Volume: 12 |Issue: 6 |Pages: 17
ISSN: 1947-315X|EISSN: 1947-3168|EISBN13: 9781799867517|DOI: 10.4018/IJEHMC.20211101.oa7
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MLA

Appati, Justice Kwame, et al. "Validation of Performance Homogeneity of Chan-Vese Model on Selected Tumour Cells." IJEHMC vol.12, no.6 2021: pp.1-17. http://doi.org/10.4018/IJEHMC.20211101.oa7

APA

Appati, J. K., Badzi, F. I., Soli, M. A., Nwolley, S. J., & Denwar, I. W. (2021). Validation of Performance Homogeneity of Chan-Vese Model on Selected Tumour Cells. International Journal of E-Health and Medical Communications (IJEHMC), 12(6), 1-17. http://doi.org/10.4018/IJEHMC.20211101.oa7

Chicago

Appati, Justice Kwame, et al. "Validation of Performance Homogeneity of Chan-Vese Model on Selected Tumour Cells," International Journal of E-Health and Medical Communications (IJEHMC) 12, no.6: 1-17. http://doi.org/10.4018/IJEHMC.20211101.oa7

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Abstract

This 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.