Using convolutional neural networks for breast cancer diagnosing

Authors

  • Maryam Naderan Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine https://orcid.org/0000-0002-2494-9961
  • Yuriy Zaychenko Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine https://orcid.org/0000-0001-9662-3269
  • Amedeo Napoli Centre De Recherche Inria Nancy Grand-Est, France

DOI:

https://doi.org/10.20535/SRIT.2308-8893.2019.4.09

Keywords:

convolutional neural networks, deep learning, computer-aided detection, breast cancer diagnosis, classification

Abstract

During the last few years, Convolutional Neural Networks (CNN) have been widely used in Computer-Aided Detection and the medical image analysis. The main idea of this paper is to modify CNN’s architectures to achieve the better sensitivity and the precision for detecting breast cancer at an early stage compared to existing methods. For this purpose, several factors were considered before CNN training such as the data processing, model, dataset, etc. In the proposed model the following hyperparameters were the following: the dropout rate 0,2, epoch 38 and batch size 33. Besides the hyperparameters, two fully connected layers in the modified model were used. An average recall (sensitivity) in the recent works was 74%. The precision and recall of proposed model for breast cancer classification were 66,66% and 85,7%, respectively.

Author Biographies

Maryam Naderan, Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv

Maryam Naderan,

a Ph.D. student at the Department of Mathematical Methods of System Analysis of Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine.

Yuriy Zaychenko, Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv

Yuriy Zaychenko,

Doctor of Technical Sciences, a professor at the Department of Mathematical Methods of System Analysis of Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine.

Amedeo Napoli, Centre De Recherche Inria Nancy Grand-Est

Amedeo Napoli,

a professor at Centre De Recherche Inria Nancy Grand-Est, Nancy, France.

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Published

2019-12-23

Issue

Section

Theoretical and applied problems of intelligent systems for decision making support