Efficient Deep Learning Approaches for Automated Tumor Detection, Classification, and Localization in Experimental Microwave Breast Imaging Data
Author:
Affiliation:
1. University of the Punjab,Department of Electrical Engineering, Information Technology,Lahore,Pakistan
2. King Abdullah University of Science and Technology (KAUST),Innovative Technologies Laboratories (ITL),Saudi Arabia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10181241/10181318/10181859.pdf?arnumber=10181859
Reference11 articles.
1. Breast cancer detection using interferometric MUSIC: Experimental and numerical assessment
2. A Deep Learning Framework for Breast Tumor Detection and Localization from Microwave Imaging Data
3. Development of Prototype Microwave Radar-based Imaging System for Breast Cancer Detection
4. Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data
5. Diagnosing Breast Cancer with Microwave Technology: remaining challenges and potential solutions with machine learning
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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
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