Enhancement of Multimodal Microwave-Ultrasound Breast Imaging Using a Deep-Learning Technique

Enhancement of Multimodal Microwave-Ultrasound Breast Imaging Using a Deep-Learning Technique

We present a deep learning method used in conjunction with dual-modal microwave-ultrasound imaging to produce tomographic reconstructions of the complex-valued permittivity of numerical breast phantoms. We also assess tumor segmentation performance using the reconstructed permittivity as a feature....

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Bibliographic Details
Main Authors: Vahab Khoshdel, Ahmed Ashraf, Joe LoVetri
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Sensors
Subjects:
microwave breast imaging
inverse problems
image reconstruction
tumor detection
convolutional neural networks
Online Access:https://www.mdpi.com/1424-8220/19/18/4050

Internet

https://www.mdpi.com/1424-8220/19/18/4050

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