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            <name>Title</name>
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                <text>Articles</text>
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    <name>Article</name>
    <description>Faculty Publications -Articles</description>
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        <element elementId="50">
          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>Entropy Based Segmentation Model for Kidney Stone and Cyst on Ultrasound Image</text>
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        <element elementId="49">
          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>Entropy; Gamma correction; Image filters; Kidney Cyst; Kidney diseases; Kidney stone; Kidney ultrasound; Pre-processing; Segmentation; Thresholding</text>
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          <name>Description</name>
          <description>An account of the resource</description>
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              <text>Segmentation of abnormal masses in kidney images is a tough task. One of the main challenges is the presence of speckle noise, which will restrain the valuable information for the medical practitioners. Hence, the detection and segmentation of the affected regions vary in accuracies. The proposed model includes pre-processing and segmentation of the diseased region. The pre-processing consists of Gaussian filtering and Contrast Limited Adaptive Histogram Equalization (CLHE) to improve the clarity of the images. Further, segmentation has been done based on the entropy of the image and gamma correction has been done to improve the overall brightness of the images. An optimal global threshold value is selected to extract the region of interest and measures the area. The model is analyzed with statistical parameters like Jaccard index and Dice coefficient and compared with the ground truth images. To check the accuracy of the segmentation, relative error is calculated. This framework can be used by radiologists in diagnosing kidney patients. 2022, International Journal of Computing. All Rights Reserved.</text>
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        <element elementId="39">
          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
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              <text>George M.; Bhimasena A.H.</text>
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          <name>Source</name>
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              <text>International Journal of Computing, Vol-21, No. 4, pp. 450-455.</text>
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          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
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              <text>Research Institute of Intelligent Computer Systems</text>
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          <name>Date</name>
          <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <text>2022-01-01</text>
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          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
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              <text>&lt;a href="https://doi.org/10.47839/ijc.21.4.2780" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.47839/ijc.21.4.2780&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149703984&amp;amp;doi=10.47839%2Fijc.21.4.2780&amp;amp;partnerID=40&amp;amp;md5=6486ead8c320a7151fb8d51df4f4717e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149703984&amp;amp;doi=10.47839%2fijc.21.4.2780&amp;amp;partnerID=40&amp;amp;md5=6486ead8c320a7151fb8d51df4f4717e&lt;/a&gt;</text>
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        <element elementId="47">
          <name>Rights</name>
          <description>Information about rights held in and over the resource</description>
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            <elementText elementTextId="110146">
              <text>All Open Access; Hybrid Gold Open Access</text>
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          <name>Relation</name>
          <description>A related resource</description>
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              <text>ISSN: 17276209 | CS; 2023-2024; Vol-1; 00011-00016</text>
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          <name>Format</name>
          <description>The file format, physical medium, or dimensions of the resource</description>
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              <text>Online</text>
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          <name>Language</name>
          <description>A language of the resource</description>
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            <elementText elementTextId="110149">
              <text>English</text>
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          <name>Type</name>
          <description>The nature or genre of the resource</description>
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              <text>Article</text>
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          <name>Coverage</name>
          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <text>George M., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Bhimasena A.H., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India</text>
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