1. Shodhganga@INFLIBNET
  2. Anna University
  3. Faculty of Information and Communication Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/547903
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dc.coverage.spatialA novel segmentation and classifier approach of cervical cancer using machine learning techniques
dc.date.accessioned2024-02-27T11:16:29Z-
dc.date.available2024-02-27T11:16:29Z-
dc.identifier.urihttp://hdl.handle.net/10603/547903-
dc.format.extentxiii,122p.
dc.languageEnglish
dc.relationp.110-121
dc.rightsuniversity
dc.titleA novel segmentation and classifier approach of cervical cancer using machine learning techniques
dc.title.alternative
dc.creator.researcherSheebha Rani P R
dc.subject.keywordCervical Cancer
dc.subject.keywordHuman Papilloma Virus
dc.subject.keywordMulti Scale Retinex
dc.description.note
dc.contributor.guideJemila Rose R
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
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:
File Description SizeFormat 
01_title.pdfAttached File25.2 kBAdobe PDFView/Open
02_prelim pages.pdf3.41 MBAdobe PDFView/Open
03_contents.pdf58.27 kBAdobe PDFView/Open
04_abstracts.pdf14.2 kBAdobe PDFView/Open
05_chapter1.pdf674.19 kBAdobe PDFView/Open
06_chapter2.pdf257.09 kBAdobe PDFView/Open
07_chapter3.pdf1.03 MBAdobe PDFView/Open
08_chapter4.pdf836.61 kBAdobe PDFView/Open
09_chapter5.pdf70.43 kBAdobe PDFView/Open
10_annexures.pdf115.39 kBAdobe PDFView/Open
80_recommendation.pdf56.41 kBAdobe PDFView/Open
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