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  <titleInfo>
    <title>Generative adversarial networks-based data augmentation framework for automated brain tumor segmentation</title>
  </titleInfo>
  <name type="personal">
    <namePart>Zarish (55926)</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Lahore</placeTerm>
    </place>
    <publisher>(unpublished)</publisher>
    <dateIssued>2025</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>62 p. : ill. ; 29.2 cm. +CD</extent>
  </physicalDescription>
  <note>Includes bibliographical references</note>
  <note>Submitted in partial fulfilment of the requirement for the degree of Master of Science in Biomedical Engineering.</note>
  <note>Thesis supervisor: Dr. Muhammad Zahid</note>
  <note>Thesis (MS-BE)--Riphah International University, 2025</note>
  <note>English</note>
  <subject>
    <topic>Biomedical Engineering</topic>
    <topic>Data augmentation</topic>
    <topic>Generative adversarial</topic>
    <topic>Machine learning</topic>
    <topic>Transfer learning</topic>
    <topic>Electromyograph</topic>
    <topic>MS-BME</topic>
    <topic>RCST</topic>
  </subject>
  <classification authority="ddc">620 ZAR</classification>
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