A Deep Learning Framework for Breast Tumor Detection and Localization from Microwave Imaging Data
Author:
Affiliation:
1. Beirut Arab University,ECE Department,Beirut,Lebanon
2. American University of Beirut,ECE Department,Beirut,Lebanon
3. New York University,ECE Department,Abu Dhabi,UAE
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9665417/9665446/09665521.pdf?arnumber=9665521
Reference8 articles.
1. Microwave Breast Imaging: Clinical Advances and Remaining Challenges
2. A Survey on Antenna Designs for Breast Cancer Detection Using Microwave Imaging
3. Deep learning for tumour classification in homogeneous breast tissue in medical microwave imaging
4. Microwave detection of breast cancer
5. An Open-Access Experimental Dataset for Breast Microwave Imaging
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2. Supervised Machine Learning for Breast Cancer Detection Using Microwave Imaging in the Frequency Domain;2024 18th European Conference on Antennas and Propagation (EuCAP);2024-03-17
3. Neural Network Based Microwave Tumour Detection Using Breast Pairs;2024 18th European Conference on Antennas and Propagation (EuCAP);2024-03-17
4. Developments in Open-Source Tools for Microwave Breast Imaging;2024 18th European Conference on Antennas and Propagation (EuCAP);2024-03-17
5. Deep Learning for Sensing Matrix Prediction in Computational Microwave Imaging With Coded-Apertures;IEEE Access;2024
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