1. Shodhganga@INFLIBNET
  2. Shri Jagdishprasad Jhabarmal Tibarewala University
  3. Faculty of Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/431176
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-12-26T04:35:34Z-
dc.date.available2022-12-26T04:35:34Z-
dc.identifier.urihttp://hdl.handle.net/10603/431176-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMultimodel deep transfer learning approach for segmentation and classification of covid 19 disease from ct images
dc.title.alternative
dc.creator.researcherRana Quadri
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideAnupama A Deshpande And Senthil Singh
dc.publisher.placeJhunjhunu
dc.publisher.universityShri Jagdishprasad Jhabarmal Tibarewala University
dc.publisher.institutionFaculty of Engineering
dc.date.registered2018
dc.date.completed2021
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File179.94 kBAdobe PDFView/Open
02_prelim pages.pdf292.47 kBAdobe PDFView/Open
03_content.pdf155.88 kBAdobe PDFView/Open
04_abstract.pdf84.37 kBAdobe PDFView/Open
05_chapter 1.pdf2.4 MBAdobe PDFView/Open
06_chapter 2.pdf349.72 kBAdobe PDFView/Open
07_chapter 3.pdf1.39 MBAdobe PDFView/Open
08_chapter 4.pdf818.3 kBAdobe PDFView/Open
09_chapter 5.pdf738.29 kBAdobe PDFView/Open
10_chapter 6.pdf176.62 kBAdobe PDFView/Open
11_annexures.pdf563.22 kBAdobe PDFView/Open
80_recommendation.pdf279.1 kBAdobe PDFView/Open
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