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            <name>Title</name>
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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>Analysis of U-Net and Modified VGG16 Technique for Mitosis Identification in Histopathology Images</text>
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          <name>Subject</name>
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              <text>Augmentation; deep learning; histopathological images; mitosis detection; stain normalization</text>
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          <name>Description</name>
          <description>An account of the resource</description>
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              <text>One of the most frequently diagnosed cancers in women is breast cancer. Mitotic cells in breast histopathological images are a very important biomarker to diagnose breast cancer. Mitotic scores help medical professionals to grade breast cancer appropriately. The procedure of identifying mitotic cells is quite time-consuming. To speed up and improve the process, automated deep learning methods can be used. The suggested study aims to conduct analysis on the detection of mitotic cells using U-Net and modified VGG16 technique. In this study, pre-processing of the input images is done using stain normalization and enhancement processes. A modified VGG16 classifier is used to classify the segmented results after the altered image has been segmented using U-Net technology. The suggested method's robustness is evaluated using data from the MITOSIS 2012 dataset. The proposed strategy performed better with a precision of 86%,recall of 75% and F1-Score of 80%.  2024 IEEE.</text>
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          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
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              <text>Lijo J.; Saleema J.S.</text>
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          <name>Source</name>
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              <text>2024 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2024</text>
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          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
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              <text>Institute of Electrical and Electronics Engineers Inc.</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>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/WiSPNET61464.2024.10533123" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/WiSPNET61464.2024.10533123&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195137474&amp;amp;doi=10.1109%2FWiSPNET61464.2024.10533123&amp;amp;partnerID=40&amp;amp;md5=75009d254d20eadabbadbfe4d7be6e14" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195137474&amp;amp;doi=10.1109%2fWiSPNET61464.2024.10533123&amp;amp;partnerID=40&amp;amp;md5=75009d254d20eadabbadbfe4d7be6e14&lt;/a&gt;</text>
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          <name>Rights</name>
          <description>Information about rights held in and over the resource</description>
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            <elementText elementTextId="167624">
              <text>Restricted Access</text>
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          <name>Relation</name>
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              <text>ISBN: 979-835035084-5</text>
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          <name>Format</name>
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              <text>Online</text>
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          <name>Language</name>
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              <text>English</text>
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          <name>Type</name>
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              <text>Conference paper</text>
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          <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>Lijo J., Research Scholar, Christ (Deemed to Be University), Karnataka, Bengaluru, India, Christ Academy Institute for Advanced Studies, Karnataka, Bengaluru, India; Saleema J.S., Christ Deemed to Be University, Department of Computer Science, Karnataka, Bengaluru, India</text>
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