Year: 2024
Type: article
Abstract: Convolutional neural networks have been frequently utilized in computer-aided diagnosis (CAD). Breast cancer image classification is one of the vital applications of CAD. The purpose of this study was to explore the role of attention mechanism in breast cancer image classification. Specifically, this study introduces attention mechanism into the classical image classification deep learning network and constructs a new breast cancer image classification model. Test results indicate that convolutional neural networks perform better in classification when an attention mechanism is added, and they also perform better in terms of training loss and accuracy.
DOI: 10.62051/4y666a74
Authors: Yuyuan Guo, Sinuo Duan, Fangqi Wang
Institution: Shanghai University
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4406359568