Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/367131
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-03-08T09:14:01Z-
dc.date.available2022-03-08T09:14:01Z-
dc.identifier.urihttp://hdl.handle.net/10603/367131-
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDetection of brain tumor and predicting the survival rate using hierarchical deep learning
dc.title.alternative
dc.creator.researcherN Duraimurugan
dc.subject.keywordAutomation and Control Systems
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideSP Chokkalingam
dc.publisher.placeChennai
dc.publisher.universitySaveetha University
dc.publisher.institutionDepartment of Engineering
dc.date.registered2016
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdf.pdfAttached File252.04 kBAdobe PDFView/Open
02_certificate.pdf.pdf392.33 kBAdobe PDFView/Open
03_abstract.pdf.pdf372.08 kBAdobe PDFView/Open
04_declaration.pdf.pdf376.09 kBAdobe PDFView/Open
05_acknowledgement.pdf.pdf370.28 kBAdobe PDFView/Open
06_contents.pdf.pdf374.59 kBAdobe PDFView/Open
07_list_of_tables.pdf.pdf370.33 kBAdobe PDFView/Open
08_list_of_figures.pdf.pdf370.92 kBAdobe PDFView/Open
09_abbreviations.pdf.pdf369.36 kBAdobe PDFView/Open
10_chapter1.pdf.pdf484.11 kBAdobe PDFView/Open
11_chapter2.pdf.pdf547.19 kBAdobe PDFView/Open
12_chapter3.pdf.pdf1.37 MBAdobe PDFView/Open
13_chapter4.pdf.pdf2.71 MBAdobe PDFView/Open
14_summary.pdf.pdf324.11 kBAdobe PDFView/Open
15_bibliography.pdf.pdf486.08 kBAdobe PDFView/Open
80_recommendation.pdf324.11 kBAdobe PDFView/Open


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