1. Shodhganga@INFLIBNET
  2. Manonmaniam Sundaranar University
  3. Department of Computer Science & Engg.
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/472625
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-03-27T11:29:16Z-
dc.date.available2023-03-27T11:29:16Z-
dc.identifier.urihttp://hdl.handle.net/10603/472625-
dc.description.abstractnewline
dc.format.extentxvii, 114p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDesign and development of automated systems to detect and classify mitotic cells from breast cancer histopathological images
dc.title.alternative
dc.creator.researcherGeetha R
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideChidambaranathan S
dc.publisher.placeTirunelveli
dc.publisher.universityManonmaniam Sundaranar University
dc.publisher.institutionDepartment of Computer Science and Engg.
dc.date.registered
dc.date.completed2021
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science & Engg.

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File118.44 kBAdobe PDFView/Open
02_prelim pages.pdf354.46 kBAdobe PDFView/Open
03_table of content.pdf90.81 kBAdobe PDFView/Open
04_abstract.pdf58.09 kBAdobe PDFView/Open
05_chapter1.pdf185.86 kBAdobe PDFView/Open
06_chapter2.pdf281.99 kBAdobe PDFView/Open
07_chapter3.pdf569.14 kBAdobe PDFView/Open
08_chapter4.pdf1.53 MBAdobe PDFView/Open
09_chapter5.pdf847.86 kBAdobe PDFView/Open
10_reference.pdf146.41 kBAdobe PDFView/Open
80_recommendation.pdf70.57 kBAdobe PDFView/Open
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