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

<Previous Article In Volume
Next Article In Volume>

Application for Breast Cancer Detection Based on Convolutional Neural Network

Authors
Tianye Fan1, *
1Computer Science and Engineering Department, University of California, 9500 Gilman Dr, La Jolla, San Diego, CA, 92093, USA
*Corresponding author. Email: t4fan@ucsd.edu
Corresponding Author
Tianye Fan
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_15How to use a DOI?
Keywords
Invasive Ductal Carcinoma; Breast cancer; Convolutional Neural Network
Abstract

Breast cancer starts in breast cells when they grow out of control. It is life-threatening and is common among women. Diagnosis of breast cancer is a challenging task as well as time consuming. In this paper, a new idea for breast cancer diagnosis is discussed. Namely, a convolutional neural network (CNN) method is proposed to assist classification of breast cancer. Two different models are discussed in this paper. Testing results is done using performance metric for all models. On top of the models that classify breast cancer, a practical application is also discussed and implemented that utilized the proposed model. It is not only capable of breast cancer diagnosis but delivers the results flexibly with an AI chatbot. The proposed model performs well with testing accuracy of 98%. The application is also well tested that can perform automated breast cancer diagnosis quickly to reduce the work of the clinic significantly.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
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
978-94-6463-040-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_15How 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  - Tianye Fan
PY  - 2022
DA  - 2022/12/27
TI  - Application for Breast Cancer Detection Based on Convolutional Neural Network
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 90
EP  - 95
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_15
DO  - 10.2991/978-94-6463-040-4_15
ID  - Fan2022
ER  -