Diagnosing Cervical Neoplasia in Rural Brazil: Clinical Trial Outcomes and a Next-generation Point-of-care Imaging System

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dc.contributor.advisorRichards-Kortum, Rebecca
dc.creatorHunt, Brady
dc.date.accessioned2020-07-24T13:35:04Z
dc.date.available2021-05-01T05:01:13Z
dc.date.created2020-05
dc.date.issued2020-06-22
dc.date.submittedMay 2020
dc.date.updated2020-07-24T13:35:04Z
dc.description.abstractThis work contains a series of clinical studies conducted at a Brazilian cancer hospital to validate a low-cost, portable, high-resolution microendoscope (HRME) for real-time diagnostic evaluation of cervical lesions. Findings from these clinical studies led me to explore two approaches to further improve HRME: 1) improved image analysis algorithms and 2) improved optical instrumentation. In total, five studies are presented: three clinical studies and two technical studies. Taken altogether, these studies provide strong evidence for the potential of HRME to improve cervical cancer prevention in low-resource healthcare settings.
dc.embargo.terms2021-05-01
dc.format.mimetypeapplication/pdf
dc.identifier.citationHunt, Brady. "Diagnosing Cervical Neoplasia in Rural Brazil: Clinical Trial Outcomes and a Next-generation Point-of-care Imaging System." (2020) Diss., Rice University. <a href="https://hdl.handle.net/1911/109104">https://hdl.handle.net/1911/109104</a>.
dc.identifier.urihttps://hdl.handle.net/1911/109104
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectcervical cancer
dc.subjectoptical diagnosis
dc.subjectin vivo microscopy
dc.subjectpoint-of-care imaging
dc.subjectmachine learning
dc.titleDiagnosing Cervical Neoplasia in Rural Brazil: Clinical Trial Outcomes and a Next-generation Point-of-care Imaging System
dc.typeThesis
dc.type.materialText
thesis.degree.departmentBioengineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelDoctoral
thesis.degree.majorBiomedical optics and machine learning
thesis.degree.nameDoctor of Philosophy
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