Breast Imaging by Cascaded CNN from Joint Microwave and Ultrasonic Data

Author:

Noel Valentin1,Qin Yingying2,Rodet Thomas3,Lesselier Dominique4

Affiliation:

1. Univ. Paris-Saclay, CNRS, CentraleSupélec,Systèmes et Applications des Technologies de l'Information et de l'Energie, ENS Paris-Saclay Laboratoire des Signaux et Systèmes,Gif-sur-Yvette,France

2. UiT - The Arctic University of Norway,Department of Physics and Technology,Tromsø,Norway

3. Systemes et Applications des Technologies de l'Information et de l'Energie, ENS Paris-Saclay,Gif-sur-Yvette,France

4. Univ. Paris-Saclay, CNRS, CentraleSupélec,Laboratoire des Signaux et Systèmes,Gif-sur-Yvette,France

Publisher

IEEE

Reference17 articles.

1. Joint Inversion of Electromagnetic and Acoustic Data With Edge-Preserving Regularization for Breast Imaging

2. Microwave Breast Imaging With Prior Ultrasound Information

3. Two-stream convolutional networks for action recognition in videos;simonyan;ArXiv Preprint,2014

4. Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering

5. Hyperband: A novel bandit-based approach to hyperparameter optimization;li;The Journal of Machine Learning Research,2017

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