Epidemiological profiling of population specific risk factors and validation of novel genetic variants and deep learning driven mitosis detection in breast cancer patients

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dc.contributor.guideSumathi S
dc.coverage.spatialCancer Biology
dc.creator.researcherSuganya K
dc.date.accessioned2025-04-17T11:14:35Z
dc.date.available2025-04-17T11:14:35Z
dc.date.awarded2025
dc.date.completed2025
dc.date.registered2021
dc.description.note
dc.format.accompanyingmaterialCD
dc.format.dimensions210x297mm
dc.format.extent16.7MB
dc.identifier.researcherid0000-0001-9249-3364
dc.identifier.urihttp://hdl.handle.net/10603/633956
dc.languageEnglish
dc.publisher.institutionDepartment of Biochemistry, Biotechnology and Bioinformatics
dc.publisher.placeCoimbatore
dc.publisher.universityAvinashilingam Institute for Home Science and Higher Education for Women
dc.relation234
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordLife Sciences
dc.subject.keywordBreast Cancer, Epidemiology, Rare Genetic variants, Mitosis detection, Deep Learning
dc.subject.keywordBreast Cancer
dc.titleEpidemiological profiling of population specific risk factors and validation of novel genetic variants and deep learning driven mitosis detection in breast cancer patients
dc.title.alternative
dc.type.degreePh.D.

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