1. Shodhganga@INFLIBNET
  2. Hindustan Institute of Technology and Science
  3. Department of Electronics and Communication Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/316742
Title: Ovarian detection and classification using machine learning techniques
Researcher: V Kiruthika
Guide(s): Ramya M M
Keywords: Demographic and diagnostic features
Engineering
Engineering and Technology
Engineering Electrical and Electronic
Image Processing
Machine learning
Medical diagnostics
Ovarian classification
Ovarian detection
University: Hindustan University
Completed Date: 2020
Abstract: file attached
Pagination: 178 p.
URI: http://hdl.handle.net/10603/316742
Appears in Departments:Department of Electronics and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File66.95 kBAdobe PDFView/Open
02_certificate.pdf134.63 kBAdobe PDFView/Open
03_declaration.pdf117.79 kBAdobe PDFView/Open
04_acknowledgement.pdf70.9 kBAdobe PDFView/Open
05_abstract.pdf187.92 kBAdobe PDFView/Open
06_content.pdf429.48 kBAdobe PDFView/Open
07_chapter 1.pdf323.19 kBAdobe PDFView/Open
08_chapter 2.pdf278.66 kBAdobe PDFView/Open
09_chapter 3.pdf525.48 kBAdobe PDFView/Open
10_chapter 4.pdf565.17 kBAdobe PDFView/Open
11_chapter 5.pdf949.46 kBAdobe PDFView/Open
12_chapter 6.pdf563.09 kBAdobe PDFView/Open
13_chapter 7.pdf535.96 kBAdobe PDFView/Open
14_references.pdf201.6 kBAdobe PDFView/Open
15_annexure.pdf4.7 MBAdobe PDFView/Open
80_recommendation.pdf183.51 kBAdobe PDFView/Open
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