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The pixel intensities, gradient\nmagnitude, affinity map, and catchment basins of these\nmethods are validated based upon various constraints evaluations. \nIn this article, we also develop a new methodology for\na computational pipeline that uses bilateral filtering, diffusion\nproperties, watershed, and filtering with mathematical\nmorphology operators for the contour extraction of the lesion\nin the feature available based mainly on the gradient\nfunction. The evaluations of the classification of these lesions\nare very briefly outlined in this context and are being\nundertaken by pattern recognition in another paper work.<\/jats:p>","DOI":"10.1155\/2008\/759354","type":"journal-article","created":{"date-parts":[[2008,10,28]],"date-time":"2008-10-28T09:24:07Z","timestamp":1225185847000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Semi\u2010automatic Integrated Segmentation Approaches  and Contour Extraction Appliedto Computed Tomography  Scan Images\u2032"],"prefix":"10.1155","volume":"2008","author":[{"given":"B. Dhalila S. Y.","family":"Khoodoruth","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Harry C. 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