Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Breast cancer is the second leading cause of death for women, so accurate early detection can help decrease
breast cancer mortality rates. This paper aims at giving an overview of breast cancer detection using Machine learning
Technique. The Methodology used here is Convolutional Neural Network with pre-trained model. For the implementation
of the ML algorithms, the dataset was partitioned into the training phase and the testing phase.
Keywords:
System Design and Development, Machine Learning, Feature Extraction.
Cite Article:
"Breast Cancer Detection Using Machine Learning Techniques", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.191 - 194, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207030.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator