1. Shodhganga@INFLIBNET
  2. Jaypee Institute of Information Technology
  3. Department of Computer Science Engineering and Information Technology
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/402179
Title: Effective Identification of Endometrial Tuberculosis for Infertility using Machine Learning
Researcher: Garg, Varsha
Guide(s): Saxena, Vikas and Sahoo, Anita
Keywords: Computer Science
Computer Science Information Systems
Deep Learning
Endometrial Tuberculosis
Engineering and Technology
Female Genital Tuberculosis
Geometric features
Haralick textural features
Infertility
Machine Learning
University: Jaypee Institute of Information Technology
Completed Date: 2022
Abstract: included newline
Pagination: 
URI: http://hdl.handle.net/10603/402179
Appears in Departments:Department of Computer Science Engineering and Information Technology

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File344.89 kBAdobe PDFView/Open
02_table of contents.pdf341.01 kBAdobe PDFView/Open
03_declaration.pdf327.32 kBAdobe PDFView/Open
04_certificate.pdf329.51 kBAdobe PDFView/Open
05_ackowledgement.pdf351.13 kBAdobe PDFView/Open
06_abstract.pdf236.67 kBAdobe PDFView/Open
07_list of acronyms & abbreviations.pdf437.82 kBAdobe PDFView/Open
08_list of symbols, figures and tables.pdf1.01 MBAdobe PDFView/Open
09_chapter1.pdf692.53 kBAdobe PDFView/Open
10_chapter2.pdf830.08 kBAdobe PDFView/Open
11_chapter3.pdf944.38 kBAdobe PDFView/Open
12_chapter4.pdf999.93 kBAdobe PDFView/Open
13_chapter5.pdf691.46 kBAdobe PDFView/Open
14_chapter6.pdf1.06 MBAdobe PDFView/Open
15_chapter7.pdf1.13 MBAdobe PDFView/Open
16_references.pdf421.64 kBAdobe PDFView/Open
17_list of publcations.pdf449.62 kBAdobe PDFView/Open
18_synopsis.pdf1.07 MBAdobe PDFView/Open
80_recommendation.pdf820.08 kBAdobe PDFView/Open
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