Breast Cancer Segmentation From Ultrasound Images Using Deep Dual-Decoder Technology With Attention Network

Author:

Hekal Asmaa A.1,Elnakib Ahmed1ORCID,Moustafa Hossam El-Din1,Amer Hanan M.1

Affiliation:

1. Electronics and Communications Engineering (ECE) Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. FCM-DCS: Fuzzy C means distorted contour-based segmentation model for breast cancer detection;Neurocomputing;2024-09

2. A lightweight spatially-aware classification model for breast cancer pathology images;Biocybernetics and Biomedical Engineering;2024-07

3. Dual-Stream CoAtNet models for accurate breast ultrasound image segmentation;Neural Computing and Applications;2024-05-27

4. Breast Cancer Segmentation and Detection Using U-net With Ultrasound Dataset;Proceedings of the Cognitive Models and Artificial Intelligence Conference;2024-05-25

5. Implementation of Breast Cancer Segmentation Using Improved Attention UNet;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02

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