<?xml version="1.0" encoding="UTF-8"?>
<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-interdisciplinary-mathematics</journal-id>
      <journal-title-group>
        <journal-title>Journal of Interdisciplinary Mathematics</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-012X</issn>
      <issn publication-format="print">0972-0502</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JIM-1603</article-id>
      <title-group>
        <article-title>Fuzzy SHmath.Mbio-transform generalization and application to skin cancer imaging (distributed diseases)</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Kadham</surname>
            <given-names>Shaymaa Maki</given-names>
          </name>
          <aff>Department of Mathematics, College of Computer Science and Mathematics, University of Kufa, Kufa, Iraq</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Mustafa</surname>
            <given-names>Mohammed Ahmed</given-names>
          </name>
          <aff>Department of Medical Laboratory Techniques, University of Imam Jafar Al-Sadiq, College of Technology, Iraq</aff>
        </contrib>
      </contrib-group>
      <volume>26</volume>
      <issue>6</issue>
      <fpage>1031</fpage>
      <lpage>1042</lpage>
      <pub-date date-type="pub">
        <day>08</day>
        <month>09</month>
        <year>2023</year>
      </pub-date>
      <abstract>
        <p>Fuzzy integral transformations are an important methodology for solving the relevant fuzzy boundary (initial) value issues that arise from solving fuzzy differential and integral equations. In this study, the way we classify the-for the corresponding-order fuzzy derivative, fuzzy Shmath.mbio.M-transform. Studies of this process are conducted on the assumption of substantial generalized Hukuhara differentiability. When comparing the suggested transform to another transform, the fuzzy Laplace transform, the effectiveness of the proposed transform in extracting melanoma edges was shown to be much higher. The accuracy and efficiency of the proposed transformation may be enhanced even more. statistical parameters were used to corroborate the findings.</p>
      </abstract>
      <kwd-group>
        <kwd>Mathematical modeling</kwd>
        <kwd>Ordinary differential equations</kwd>
        <kwd>Generalization of  S.M-transform</kwd>
        <kwd>Process image</kwd>
        <kwd>Image skin cancer</kwd>
      </kwd-group>
      <custom-meta-group>
        <custom-meta>
          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
        </custom-meta>
        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
