Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/462390
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-02-18T09:23:20Z | - |
dc.date.available | 2023-02-18T09:23:20Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/462390 | - |
dc.description.abstract | newline 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.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Algorithms for detection and classification of thyroid carcinoma using Ultrasound images | |
dc.title.alternative | ||
dc.creator.researcher | Nayana R Shenoy | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering Biomedical | |
dc.description.note | ||
dc.contributor.guide | Anand Jatti | |
dc.publisher.place | Belagavi | |
dc.publisher.university | Visvesvaraya Technological University, Belagavi | |
dc.publisher.institution | R V College of Engineering | |
dc.date.registered | 2015 | |
dc.date.completed | 2021 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | CD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | R V College of Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_titlepage.pdf | Attached File | 99.71 kB | Adobe PDF | View/Open |
02_prelimpages.pdf | 981.65 kB | Adobe PDF | View/Open | |
03_contents.pdf | 197.71 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 173.39 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 394.67 kB | Adobe PDF | View/Open | |
06_chapter2.pdf | 230.2 kB | Adobe PDF | View/Open | |
07_chapter3.pdf | 454.3 kB | Adobe PDF | View/Open | |
08_chapter4.pdf | 433.08 kB | Adobe PDF | View/Open | |
09_chapter5.pdf | 299.74 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 214.61 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 111.18 kB | Adobe PDF | View/Open |
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