1. Shodhganga@INFLIBNET
  2. Lovely Professional University
  3. Faculty of Technology and Sciences
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/602901
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-11-26T05:09:23Z-
dc.date.available2024-11-26T05:09:23Z-
dc.identifier.urihttp://hdl.handle.net/10603/602901-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDeep learning for brain tumor Detection and classification Using mri images
dc.title.alternative
dc.creator.researcherBHUKYA RAMU
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideSandeep Bansal
dc.publisher.placePhagwara
dc.publisher.universityLovely Professional University
dc.publisher.institutionFaculty of Technology and Sciences
dc.date.registered2020
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Technology and Sciences

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File473.04 kBAdobe PDFView/Open
02_prelim pages.pdf1.38 MBAdobe PDFView/Open
03_content.pdf337.06 kBAdobe PDFView/Open
04_abstract.pdf179.85 kBAdobe PDFView/Open
05_chapter 1.pdf598.85 kBAdobe PDFView/Open
06_chapter 2.pdf366.78 kBAdobe PDFView/Open
07_chapter 3.pdf1.31 MBAdobe PDFView/Open
08_chapter 4.pdf1.11 MBAdobe PDFView/Open
09_chapter 5.pdf890.41 kBAdobe PDFView/Open
10_chapter 6.pdf1.03 MBAdobe PDFView/Open
11_chapter 7.pdf192.86 kBAdobe PDFView/Open
12_annexures.pdf513.9 kBAdobe PDFView/Open
80_recommendation.pdf665.27 kBAdobe PDFView/Open
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