1. Shodhganga@INFLIBNET
  2. Indian Institute of Technology Jodhpur
  3. Department of Electrical Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/435872
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DC FieldValueLanguage
dc.coverage.spatialDepartment of Electrical Engineering
dc.date.accessioned2023-01-04T05:10:45Z-
dc.date.available2023-01-04T05:10:45Z-
dc.identifier.urihttp://hdl.handle.net/10603/435872-
dc.description.abstractAvailable
dc.format.extentxvii, 74 p.
dc.languageEnglish
dc.relationNA
dc.rightsuniversity
dc.titleQuality assessment and enhancement of retinal fundus images using deep learning methods
dc.title.alternativeNa
dc.creator.researcherRaj, Aditya
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.noteRefrence page p.67-74
dc.contributor.guideTiwari, Anil Kumar
dc.publisher.placeJodhpur
dc.publisher.universityIndian Institute of Technology Jodhpur
dc.publisher.institutionDepartment of Electrical Engineering
dc.date.registered2015
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensionsNA
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electrical Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File691.71 kBAdobe PDFView/Open
02_prelim pages.pdf685.96 kBAdobe PDFView/Open
03_table of content.pdf613 kBAdobe PDFView/Open
04_abstract.pdf601.49 kBAdobe PDFView/Open
05_chapter 1.pdf895.67 kBAdobe PDFView/Open
06_chapter 2.pdf1.22 MBAdobe PDFView/Open
07_chapter 3.pdf908.37 kBAdobe PDFView/Open
08_chapter 4.pdf836.19 kBAdobe PDFView/Open
09_chapter 5.pdf2.23 MBAdobe PDFView/Open
10_annexure.pdf664.64 kBAdobe PDFView/Open
80_recommendation.pdf787.9 kBAdobe PDFView/Open
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