Machine Learning Approach to Microwave Imaging for Cancer Detection
Author:
Affiliation:
1. University of Calabria,DIMES,Rende,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10132843/10132844/10133550.pdf?arnumber=10133550
Reference21 articles.
1. Supervised Descent Learning Technique for 2-D Microwave Imaging
2. Deep-Learning Schemes for Full-Wave Nonlinear Inverse Scattering Problems
3. A Machine Learning Workflow for Tumour Detection in Breasts Using 3D Microwave Imaging
4. MRI-Derived 3-D-Printed Breast Phantom for Microwave Breast Imaging Validation
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2. Segmentation Approach for Enhanced Biomedical Microwave Imaging;2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE);2023-10-25
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