Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/400344
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-08-23T05:10:48Z-
dc.date.available2022-08-23T05:10:48Z-
dc.identifier.urihttp://hdl.handle.net/10603/400344-
dc.description.abstractDeep Learning Approaches for Tumor Segmentation in Multimodal Brain Magnetic Resonance Images newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDeep Learning Approaches for Tumor Segmentation in Multimodal Brain Magnetic Resonance Images
dc.title.alternative
dc.creator.researcherDheepa G
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.description.note
dc.contributor.guideP L Chithra
dc.publisher.placeChennai
dc.publisher.universityUniversity of Madras
dc.publisher.institutionDepartment of Computer Science
dc.date.registered
dc.date.completed2021
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
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01_title.pdfAttached File2.65 MBAdobe PDFView/Open
02_declaration.pdf45.97 kBAdobe PDFView/Open
03_certificate.pdf45.98 kBAdobe PDFView/Open
04_acknowledgement.pdf47 kBAdobe PDFView/Open
05_content.pdf55.4 kBAdobe PDFView/Open
06_list of tables.pdf59.98 kBAdobe PDFView/Open
07_abstract.pdf174.52 kBAdobe PDFView/Open
08_chapter 1.pdf5.89 MBAdobe PDFView/Open
09_chapter 2.pdf106.54 kBAdobe PDFView/Open
10_chapter 3.pdf634.25 kBAdobe PDFView/Open
11_chapter 4.pdf2.08 MBAdobe PDFView/Open
12_chapter 5.pdf2.21 MBAdobe PDFView/Open
13_chapter 6.pdf744.39 kBAdobe PDFView/Open
14_chapter 7.pdf534.68 kBAdobe PDFView/Open
15_chapter 8.pdf69.92 kBAdobe PDFView/Open
16_bibliography.pdf91.12 kBAdobe PDFView/Open
80_recommendation.pdf2.66 MBAdobe PDFView/Open


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