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Vol. 4, Sept  Issue  Paper Submission  Deadline : 20th  December 2019...

Vol. 4,  Special Issue(Bi-yearly) -  Paper Submission  Deadline: 20th  December 2019


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DETECTIONOF BREAST CANCER USING DEEP NEURAL NETWORK TECHNIQUES

Abstract

Abstract: In worldwide woman’s death rate increasesdue to the breast cancer. That’s why medicalimaging techniques are used to detection and diagnosis of breast cancer.Automated classifiers could significantly modernize the diagnostic process interms of both accuracy and time requirements by automatically distinguishingbenign and malignant tumors. In this paper propose a new breast cancerdiagnosis technique such as DNN (Deep Neural Networks) to the prognosisprediction of women’s breast cancer. Here, NN (Neural Networks) plays animportant role in this especially in the application of breast cancerdetection.

Keywords:  Brest Cancer, Benign and Malignant Tumors,Neural Network, Deep Neural network and Images.

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IMPACT FACTOR: 5.909(2018)

IMPACT FACTOR: 4.109(2017)
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Organized  National Conference on  SUSTAINABLE SOLID WASTE MANAGEMENT (SSWM)

@ AMITY SCHOOL OF ENGINEERING & TECHNOLOGY

Department of Civil Engineering,

Amity University Haryana,


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  CSEEEC-2019       

  National Computer Science ,Electronics, Electrical  Engineering Conference 



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