Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/512189
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dc.coverage.spatialHybrid approach for detecting cervical dysplasia from pap smear Images using deep learning classifiers
dc.date.accessioned2023-09-15T11:36:22Z-
dc.date.available2023-09-15T11:36:22Z-
dc.identifier.urihttp://hdl.handle.net/10603/512189-
dc.format.extentxvi,117p.
dc.languageEnglish
dc.relationp.108-116
dc.rightsuniversity
dc.titleHybrid approach for detecting cervical dysplasia from pap smear Images using deep learning classifiers
dc.title.alternative
dc.creator.researcherDeepa, K
dc.subject.keywordcervical dysplasia
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.subject.keywordHybrid approach
dc.subject.keywordpap smear Images
dc.description.note
dc.contributor.guideThilagamani, S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
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01_title.pdfAttached File1.26 MBAdobe PDFView/Open
02_prelim pages.pdf1.79 MBAdobe PDFView/Open
03_content.pdf1.25 MBAdobe PDFView/Open
04_abstract.pdf1.25 MBAdobe PDFView/Open
05_chapter 1.pdf1.25 MBAdobe PDFView/Open
06_chapter 2.pdf1.25 MBAdobe PDFView/Open
07_chapter 3.pdf1.24 MBAdobe PDFView/Open
08_chapter 4.pdf1.26 MBAdobe PDFView/Open
09_chapter 5.pdf1.24 MBAdobe PDFView/Open
10_chapter 6.pdf1.25 MBAdobe PDFView/Open
11_annexures.pdf112.06 kBAdobe PDFView/Open
80_recommendation.pdf93.81 kBAdobe PDFView/Open


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