1. Shodhganga@INFLIBNET
  2. Indian Institute of Technology Delhi
  3. Bharti School of Telecommunication Technology and Management
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/425678
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DC FieldValueLanguage
dc.coverage.spatialBharti School of Telecommunication Technology and Management
dc.date.accessioned2022-12-16T11:51:57Z-
dc.date.available2022-12-16T11:51:57Z-
dc.identifier.urihttp://hdl.handle.net/10603/425678-
dc.description.abstractAbstract Available
dc.format.extent
dc.languageEnglish
dc.relationTH-6861
dc.rightsuniversity
dc.titleGlaucoma diagnosis in a digital retinal image using multi clinical features extracted and fused by deep convolutional neural networks
dc.title.alternativeNa
dc.creator.researcherSharma, Ambika
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.subject.keywordTelecommunications
dc.description.note
dc.contributor.guideAggarwal, Monika ; Dutta Roy, Sumantra and Gupta, Vivek
dc.publisher.placeDelhi
dc.publisher.universityIndian Institute of Technology Delhi
dc.publisher.institutionBharti School of Telecommunication Technology and Management
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Bharti School of Telecommunication Technology and Management

Files in This Item:
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01_title.pdfAttached File629.15 kBAdobe PDFView/Open
02_prelim pages.pdf384.99 kBAdobe PDFView/Open
03_content.pdf97.23 kBAdobe PDFView/Open
04_abstract.pdf113.73 kBAdobe PDFView/Open
05_chapter 1.pdf5 MBAdobe PDFView/Open
06_chapter 2.pdf181.94 kBAdobe PDFView/Open
07_chapter 3.pdf3.12 MBAdobe PDFView/Open
08_chapter 4.pdf1.11 MBAdobe PDFView/Open
09_chapter 5.pdf3.9 MBAdobe PDFView/Open
10_chapter 6.pdf2.54 MBAdobe PDFView/Open
11_chapter 7.pdf92.78 kBAdobe PDFView/Open
12_annexures.pdf183.42 kBAdobe PDFView/Open
80_recommendation.pdf695.77 kBAdobe PDFView/Open
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