Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/462394
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dc.date.accessioned2023-02-18T09:23:25Z-
dc.date.available2023-02-18T09:23:25Z-
dc.identifier.urihttp://hdl.handle.net/10603/462394-
dc.description.abstractEverything was begun even before their passing rate was not all that high. Along these lines, with a death pace of 70,000, the Indian government needs to promptly see this issue. From this time forward, better outcomes can be accomplished inside 25 to 30 years. Measurements show a breast cancer pervasiveness pace of 25.8 ladies per 100000 ladies in India.
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDevelopment of Efficient machine learning algorithms for the detection of brest cancer using mammograms
dc.title.alternative
dc.creator.researcherNagendra Kumar M
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Biomedical
dc.description.note
dc.contributor.guideAnand Jatti
dc.publisher.placeBelagavi
dc.publisher.universityVisvesvaraya Technological University, Belagavi
dc.publisher.institutionR V College of Engineering
dc.date.registered2015
dc.date.completed2021
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:R V College of Engineering

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01_title.pdfAttached File243.24 kBAdobe PDFView/Open
02_prelimpages.pdf651.84 kBAdobe PDFView/Open
03_contents.pdf1.35 MBAdobe PDFView/Open
04_abstract.pdf13.13 kBAdobe PDFView/Open
05_chapter1.pdf895.72 kBAdobe PDFView/Open
07_chapter2.pdf407.7 kBAdobe PDFView/Open
08_chapter3.pdf987.28 kBAdobe PDFView/Open
09_chapter4.pdf1.07 MBAdobe PDFView/Open
10_chapter5.pdf1.31 MBAdobe PDFView/Open
11_annexures.pdf365.29 kBAdobe PDFView/Open
80_recommendation.pdf1.27 MBAdobe PDFView/Open


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