1. Shodhganga@INFLIBNET
  2. Jawaharlal Nehru Technological University, Kakinada
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/448355
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-01-18T04:35:06Z-
dc.date.available2023-01-18T04:35:06Z-
dc.identifier.urihttp://hdl.handle.net/10603/448355-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleEffective Feature Extraction For Early Detection And Classification Of Multimodality Breast Cancer Images Using Machine Learning Algorithms
dc.title.alternative
dc.creator.researcherD.V.Manjula
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideL.Sumalatha
dc.publisher.placeKakinada
dc.publisher.universityJawaharlal Nehru Technological University, Kakinada
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2013
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

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