UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 2
February-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2202158


Registration ID:
319639

Page Number

b502-b509

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Title

Breast Cancer Prediction Using Deep Learning

Abstract

There has been an increase in occurrence of human diseases all over the world. Among those, Breast Cancer has increased with an alarming rate in the past decade and this trend of increase would continue to grow. Now, there is a need for efficient text analytics and feature extraction tools to assist classifying, sharing and retrieving the information on human diseases in general and Breast Cancer in particular. Cancer Diagnosis Assistance is a deep learning model, useful for the diagnosis of certain types of cancer with the help of data analysis, image processing and deep learning. This Project will work as an assistance tool for the doctors and it will increase the accuracy of the diagnosis. Deep learning with Convolutional Neural Networks has emerged as one of the most powerful machine-learning tools in Image classification, surpassing the accuracy of almost all other traditional classification methods and even human ability. The convolutional process can simplify an image containing millions of pixels to a set of small feature maps, thereby reducing the dimension of input data while retaining the most-important differential features. Therefore in our research, CNN is used to classify the images. Basically, our research is based on the images and CNN is the most popular technique to classify the images. The proposed system is found to be successful, achieving results with 87% accuracy, which could reduce human mistakes in the diagnosis process. Moreover, our proposed system achieves accuracy higher than the 78% accuracy of machine learning (ML) algorithms. The proposed system, therefore, improves accuracy by 9% above results from machine learning (ML) algorithms.

Key Words

Breast Cancer, Skin Cancer, Deep Learning, Convolutional Neural Network, ANN.

Cite This Article

"Breast Cancer Prediction Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.b502-b509, February-2022, Available :http://www.jetir.org/papers/JETIR2202158.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Breast Cancer Prediction Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppb502-b509, February-2022, Available at : http://www.jetir.org/papers/JETIR2202158.pdf

Publication Details

Published Paper ID: JETIR2202158
Registration ID: 319639
Published In: Volume 9 | Issue 2 | Year February-2022
DOI (Digital Object Identifier):
Page No: b502-b509
Country: Gautam Buddh Nagar, Uttar Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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