An Experimental Analysis using Chatbot to Detect Breast Cancer using Histopathological Images

Registration ID: IJNRD_217886

Published ID: IJNRD2301388

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Shikha Bhardwaj, Shefali Dhingra

Convolutional neural network, Histopathological images, Cancer detection, Kaggle database

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%.

Published Paper   E-Certificate

Shikha Bhardwaj & Shefali Dhingra (January-2023). An Experimental Analysis using Chatbot to Detect Breast Cancer using Histopathological Images. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(1), d746-d749. https://ijnrd.org/papers/IJNRD2301388.pdf

Volume 8 Issue 1, January-2023

Pages : d746-d749

Paper Reg. ID: IJNRD_217886

Published Paper Id: IJNRD2301388

Downloads: 000122253

Research Area: Engineering

Author Type: Indian Author

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2301388.pdf

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