Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/462390
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dc.coverage.spatial
dc.date.accessioned2023-02-18T09:23:20Z-
dc.date.available2023-02-18T09:23:20Z-
dc.identifier.urihttp://hdl.handle.net/10603/462390-
dc.description.abstractnewline The main objective of this research was to design a segmentation and classification model which can precisely detect the presence of thyroid nodule and can accurately discriminate between benign and malign nodules. The diagnosis of thyroid nodules is a challenging process even for expert clinicians. The proposed image segmentation model is designed based on improvised technique and for classification purpose modified KNN mechanism is utilized.
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAlgorithms for detection and classification of thyroid carcinoma using Ultrasound images
dc.title.alternative
dc.creator.researcherNayana R Shenoy
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Biomedical
dc.description.note
dc.contributor.guideAnand Jatti
dc.publisher.placeBelagavi
dc.publisher.universityVisvesvaraya Technological University, Belagavi
dc.publisher.institutionR V College of Engineering
dc.date.registered2015
dc.date.completed2021
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:R V College of Engineering

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01_titlepage.pdfAttached File99.71 kBAdobe PDFView/Open
02_prelimpages.pdf981.65 kBAdobe PDFView/Open
03_contents.pdf197.71 kBAdobe PDFView/Open
04_abstract.pdf173.39 kBAdobe PDFView/Open
05_chapter1.pdf394.67 kBAdobe PDFView/Open
06_chapter2.pdf230.2 kBAdobe PDFView/Open
07_chapter3.pdf454.3 kBAdobe PDFView/Open
08_chapter4.pdf433.08 kBAdobe PDFView/Open
09_chapter5.pdf299.74 kBAdobe PDFView/Open
11_annexures.pdf214.61 kBAdobe PDFView/Open
80_recommendation.pdf111.18 kBAdobe PDFView/Open


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