Hybrid approach for detecting cervical dysplasia from pap smear Images using deep learning classifiers

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dc.contributor.guideThilagamani, S
dc.coverage.spatialHybrid approach for detecting cervical dysplasia from pap smear Images using deep learning classifiers
dc.creator.researcherDeepa, K
dc.date.accessioned2023-09-15T11:36:22Z
dc.date.available2023-09-15T11:36:22Z
dc.date.awarded2022
dc.date.completed2022
dc.date.registered
dc.description.note
dc.format.accompanyingmaterialNone
dc.format.dimensions21cm
dc.format.extentxvi,117p.
dc.identifier.urihttp://hdl.handle.net/10603/512189
dc.languageEnglish
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relationp.108-116
dc.rightsuniversity
dc.source.universityUniversity
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.titleHybrid approach for detecting cervical dysplasia from pap smear Images using deep learning classifiers
dc.title.alternative
dc.type.degreePh.D.

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