1. Shodhganga@INFLIBNET
  2. Panjab University
  3. University Institute of Engineering and Technology
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/606922
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DC FieldValueLanguage
dc.coverage.spatialArtificial Intelligence
dc.date.accessioned2024-12-16T06:40:10Z-
dc.date.available2024-12-16T06:40:10Z-
dc.identifier.urihttp://hdl.handle.net/10603/606922-
dc.format.extentxx, 170p.
dc.languageEnglish
dc.relation-
dc.rightsuniversity
dc.titleDesign and analysis of deep learning methods to detect leukemia from blood smear images
dc.title.alternative
dc.creator.researcherSabrina
dc.subject.keywordClassification method
dc.subject.keywordComputer aided diagnosis
dc.subject.keywordLeukemia detection
dc.subject.keywordSegmentation method
dc.description.noteBibliography 141-1705p.
dc.contributor.guideGupta, Savita and Mittal, Ajay
dc.publisher.placeChandigarh
dc.publisher.universityPanjab University
dc.publisher.institutionUniversity Institute of Engineering and Technology
dc.date.registered2019
dc.date.completed2024
dc.date.awarded2025
dc.format.dimensions-
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:University Institute of Engineering and Technology

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File104.61 kBAdobe PDFView/Open
02_prelim pages.pdf994.71 kBAdobe PDFView/Open
03_chapter1.pdf3.72 MBAdobe PDFView/Open
04_chapter2.pdf7.72 MBAdobe PDFView/Open
05_chapter3.pdf8.92 MBAdobe PDFView/Open
06_chapter4.pdf5.47 MBAdobe PDFView/Open
07_chapter5.pdf4.04 MBAdobe PDFView/Open
08_chapter6.pdf2.77 MBAdobe PDFView/Open
09_chapter7.pdf1.71 MBAdobe PDFView/Open
10_conclusion.pdf84.15 kBAdobe PDFView/Open
11_annexure.pdf146.79 kBAdobe PDFView/Open
80_recommendation.pdf170.7 kBAdobe PDFView/Open
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