1. Shodhganga@INFLIBNET
  2. Indian Institute of Technology Delhi
  3. Centre for Biomedical Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/557997
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DC FieldValueLanguage
dc.coverage.spatialCentre for Biomedical Engineering
dc.date.accessioned2024-04-16T09:26:22Z-
dc.date.available2024-04-16T09:26:22Z-
dc.identifier.urihttp://hdl.handle.net/10603/557997-
dc.description.abstractAbstract Available newline newline
dc.format.extentNA
dc.languageEnglish
dc.relationTH5801
dc.rightsuniversity
dc.titleQuantitative dce mri for segmentation and grading of glioma
dc.title.alternativeNa
dc.creator.researcherSengupta, Anirban
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Biomedical
dc.description.noteNA
dc.contributor.guideSingh, Anup and Agarwal, Sumeet
dc.publisher.placeDelhi
dc.publisher.universityIndian Institute of Technology Delhi
dc.publisher.institutionCentre for Biomedical Engineering
dc.date.registeredNA
dc.date.completed2018
dc.date.awarded2018
dc.format.dimensionsNA
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Centre for Biomedical Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File62 kBAdobe PDFView/Open
02_prelim pages.pdf475.47 kBAdobe PDFView/Open
03_content.pdf451.24 kBAdobe PDFView/Open
04_abstract.pdf599.51 kBAdobe PDFView/Open
05_chapter 1.pdf1.47 MBAdobe PDFView/Open
06_chapter 2.pdf3.76 MBAdobe PDFView/Open
07_chapter 3.pdf1.86 MBAdobe PDFView/Open
08_chapter 4.pdf2.08 MBAdobe PDFView/Open
09_chapter 5.pdf379.68 kBAdobe PDFView/Open
10_annexures.pdf522.86 kBAdobe PDFView/Open
80_recommendation.pdf441.26 kBAdobe PDFView/Open
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