Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/462371
Title: | Development of Efficient machine learning algorithms for the detection of brest cancer using mammograms |
Researcher: | Nagendra Kumar |
Guide(s): | Anand Jatti |
Keywords: | Engineering Engineering and Technology Engineering Biomedical |
University: | Visvesvaraya Technological University, Belagavi |
Completed Date: | 2021 |
Abstract: | Everything was begun even before their passing rate was not all that high. Along these lines, with a death pace of 70,000, the Indian government needs to promptly see this issue. From this time forward, better outcomes can be accomplished inside 25 to 30 years. Measurements show a breast cancer pervasiveness pace of 25.8 ladies per 100000 ladies in India. Thinking about the number of inhabitants in 1.3 billion Indians with the half-female populace, this adds up to very nearly 350000 ladies living with breast cancer in India for all ages joined according to an investigation done in 2017. newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/462371 |
Appears in Departments: | R V College of Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 243.24 kB | Adobe PDF | View/Open |
02_prelimpages.pdf | 651.84 kB | Adobe PDF | View/Open | |
03_contents.pdf | 1.35 MB | Adobe PDF | View/Open | |
04_abstract.pdf | 13.13 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 895.72 kB | Adobe PDF | View/Open | |
07_chapter2.pdf | 407.7 kB | Adobe PDF | View/Open | |
08_chapter3.pdf | 987.28 kB | Adobe PDF | View/Open | |
09_chapter4.pdf | 1.07 MB | Adobe PDF | View/Open | |
10_chapter5.pdf | 1.31 MB | Adobe PDF | View/Open | |
11_annexures.pdf | 365.29 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 1.27 MB | Adobe PDF | View/Open |
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