Development of Efficient machine learning algorithms for the detection of brest cancer using mammograms

dc.contributor.guide	Anand Jatti
dc.coverage.spatial
dc.creator.researcher	Nagendra Kumar
dc.date.accessioned	2023-02-18T09:21:22Z
dc.date.available	2023-02-18T09:21:22Z
dc.date.awarded	2022
dc.date.completed	2021
dc.date.registered	2015
dc.description.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
dc.description.note
dc.format.accompanyingmaterial	CD
dc.format.dimensions
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/462371
dc.language	English
dc.publisher.institution	R V College of Engineering
dc.publisher.place	Belagavi
dc.publisher.university	Visvesvaraya Technological University, Belagavi
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Biomedical
dc.title	Development of Efficient machine learning algorithms for the detection of brest cancer using mammograms
dc.title.alternative
dc.type.degree	Ph.D.