INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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)
Cancer is the most dangerous diseases in the world and it effects mainly women. So, considering this in mind, this analysis is based on curing the cancer through scientific investigation and the secondly, the focus should be on early detection of cancer, as early detection of cancer can be helpful for its early removal. There are many deep learning algorithms which can be used for developing the experimental set up but in this paper, a Deep Learning algorithm, viz. Convolutional neural network (CNN) has been used for diagnosing breast cancer using histopathological images. Also, Deep learning technology is being utilized on Kaggle Database using python (Keras) programming and is very beneficial for the diagnosis of breast cancer with an accuracy of 98%.
Keywords:
Convolutional neural network, Histopathological images, Cancer detection, Kaggle database
Cite Article:
"An Experimental Analysis using Chatbot to Detect Breast Cancer using Histopathological Images", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 1, page no.d746-d749, January-2023, Available :http://www.ijnrd.org/papers/IJNRD2301388.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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