Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

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Breast Cancer Detection Based on Image Denoising in Multiple Modes

Authors
Zheng Yin1, Shijie Pang2, Yi Yang3, *
1School of Computer Science, University of Nottingham, Nottingham, NG7 2RD, UK
2College of Global Talents, BITZH, Beijing Institute of Technology, Zhuhai, Zhuhai, China
3School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh, Scotland
*Corresponding author. Email: Y.Yang-174@sms.ed.ac.uk
Corresponding Author
Yi Yang
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_84How to use a DOI?
Keywords
Image denoising; Breast cancer classification; Convolutional neural network
Abstract

Breast cancer is cancer that develops from breast tissue, and it is the leading type of cancer in women. Convolutional neural network (CNN) is a very effective auxiliary method for medical image detection and classification as well as denoising, which is very important for diagnosis and analysis of medical images. In this study, DenseNet was used for breast cancer image classification and REDNet and a PRIDNet was sued for image denoising. By comparing the accuracy of different input with different noise level and denoising model, this study showed that denoising can remove the redundant information of images with noise and improve the accuracy of classification and higher Peak Signal to Noise Ratio (PSNR) and Structural Similarity (SSIM) would lead to a higher classification accuracy. The model performed better on the images with similar noise to the noise of the training image.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-040-4_84
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_84How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zheng Yin
AU  - Shijie Pang
AU  - Yi Yang
PY  - 2022
DA  - 2022/12/27
TI  - Breast Cancer Detection Based on Image Denoising in Multiple Modes
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 554
EP  - 559
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_84
DO  - 10.2991/978-94-6463-040-4_84
ID  - Yin2022
ER  -