Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/508344
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-08-24T08:16:32Z-
dc.date.available2023-08-24T08:16:32Z-
dc.identifier.urihttp://hdl.handle.net/10603/508344-
dc.description.abstractFile attached newline
dc.format.extentxvi, 99p
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDevelopment of Bio CAD models of fragmented skull using computer vision methods for biomedical applications
dc.title.alternative
dc.creator.researcherMangrulkar, Amol Laxman
dc.subject.keywordAutomatic skull prototyping
dc.subject.keywordComputer vision methods
dc.subject.keywordConvolutional neural networks
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Mechanical
dc.subject.keywordSkull damage detection
dc.subject.keywordSkull damage repairing
dc.description.noteLocation - Knowledge Resource Centre, Kalina
dc.contributor.guideSunnapwar, Vivek K
dc.publisher.placeMumbai
dc.publisher.universityUniversity of Mumbai
dc.publisher.institutionMechanical Engineering, Sardar Patel College of Engineering, Mumbai
dc.date.registered2021
dc.date.completed2022
dc.date.awarded2023
dc.format.dimensions30*21
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Mechanical Engineering, Sardar Patel College of Engineering, Mumbai

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File78.4 kBAdobe PDFView/Open
02_prelim pages.pdf1.14 MBAdobe PDFView/Open
03_contents.pdf401.01 kBAdobe PDFView/Open
04_abstract.pdf220.07 kBAdobe PDFView/Open
05_chapter 1.pdf489.24 kBAdobe PDFView/Open
06_chapter 2.pdf983.95 kBAdobe PDFView/Open
07_chapter 3.pdf53.08 kBAdobe PDFView/Open
08_chapter 4.pdf723.15 kBAdobe PDFView/Open
09_chapter 5.pdf335.55 kBAdobe PDFView/Open
10_chapter 6.pdf109.98 kBAdobe PDFView/Open
11_chapter 7.pdf6.41 kBAdobe PDFView/Open
12_annexures.pdf1.6 MBAdobe PDFView/Open
80_recommendation.pdf186.89 kBAdobe PDFView/Open


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