Segmentation Algorithm for Cancer Regions in Breast Cancer MRI Images Based on the Improved U2-Net Network
Around the world, breast cancer is the most common cancer in women disease. In this paper, an enhanced segmentation algorithm based on improved U \(^2\) -Net network is proposed, which integrates the convolutional block attention module and dense connection to enhance the efficiency of feature extra
Authors
- Zheng Dai (ORCID: https://orcid.org/0000-0002-8828-1075)
- Qi Jing (ORCID: https://orcid.org/0000-0002-7865-7761)
- Lin Ye (ORCID: https://orcid.org/0000-0001-9142-9467)
- Rui Shi (ORCID: https://orcid.org/0000-0001-8748-5343)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.4108/eai.21-11-2024.2354611
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00