Convolutional Neural Network with Transfer Learning Technique for Efficient Breast Cancer Detection
Authors
S. Gowri1, *, S. Vimalanand2, P. Aashwa Damin3, R. Harini3, S. Karthika3, M. Sakthiya3
1Department of Computer Science, Periyar University, Salem, Tamilnadu, India
2Achariya Arts and Science College, Puducherry, India
3Department of Computer Applications, Dhanalakshmi Srinivasan College of Arts and Science for Women (Autonomous), Perambalur, Tamilnadu, India
*Corresponding author.
Email: rsgsel@gmail.com
Corresponding Author
S. Gowri
Available Online 30 June 2025.
- DOI
- 10.2991/978-94-6463-754-0_13How to use a DOI?
- Keywords
- breast cancer; cancer detection; CNN; DL; preprocessing; feature selection
- Abstract
The most common cause of cancer in women is breast cancer. Early detection and detection is the most important and effective way to slow the spread of cancer. Currently, mammography is the imaging modality for early detection and detection of breast cancer. Classifying masses in mammography is still a significant difficulty, but it is crucial to the radiologist’s ability to provide an accurate diagnosis. To address these problems, this article introduces a Deep Learning (DL) based classification method utilizing a Convolutional Neural Network (CNN). Mammography images are classified as normal or abnormal using CNN architectural models like Inception V3 and Mobile Net. In this paper, these two models will be compared extensively.
- Copyright
- © 2025 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
TY - CONF AU - S. Gowri AU - S. Vimalanand AU - P. Aashwa Damin AU - R. Harini AU - S. Karthika AU - M. Sakthiya PY - 2025 DA - 2025/06/30 TI - Convolutional Neural Network with Transfer Learning Technique for Efficient Breast Cancer Detection BT - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025) PB - Atlantis Press SP - 134 EP - 145 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-754-0_13 DO - 10.2991/978-94-6463-754-0_13 ID - Gowri2025 ER -