Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/381866
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-05-25T04:47:18Z-
dc.date.available2022-05-25T04:47:18Z-
dc.identifier.urihttp://hdl.handle.net/10603/381866-
dc.description.abstractnewline
dc.format.extentxxiv, 238p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleHistopathological image analysis using hybrid deep learning models
dc.title.alternative
dc.creator.researcherTripathi, Suvidha
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.subject.keywordPattern recognition systems
dc.description.note
dc.contributor.guideSingh, Satish Kumar and Lee, Hwee Kuan
dc.publisher.placeAllahabad
dc.publisher.universityIndian Institute of Information Technology, Allahabad
dc.publisher.institutionInformation Technology
dc.date.registered2015
dc.date.completed2020
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Information Technology

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File53.96 kBAdobe PDFView/Open
02_declaration.pdf771.53 kBAdobe PDFView/Open
03_certificate.pdf489.26 kBAdobe PDFView/Open
04_acknowledgement.pdf49.73 kBAdobe PDFView/Open
05_content.pdf73.3 kBAdobe PDFView/Open
06_list of graph and table.pdf67.23 kBAdobe PDFView/Open
07_abstract.pdf51.99 kBAdobe PDFView/Open
08_chapter 1.pdf5.68 MBAdobe PDFView/Open
09_chapter 2.pdf1.82 MBAdobe PDFView/Open
10_chapter 3.pdf2.9 MBAdobe PDFView/Open
11_chapter 4.pdf1.87 MBAdobe PDFView/Open
12_chapter 5.pdf4.05 MBAdobe PDFView/Open
13_chapter 6.pdf2.96 MBAdobe PDFView/Open
14_chapter 7.pdf6.43 MBAdobe PDFView/Open
15_bibliography.pdf208.18 kBAdobe PDFView/Open
80_recommendation.pdf60.26 kBAdobe PDFView/Open


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