A Machine Learning Workflow for Tumour Detection in Breasts Using 3D Microwave Imaging
A two-stage workflow for detecting and monitoring tumors in the human breast with an inverse scattering-based technique is presented. Stage 1 involves a phaseless bulk-parameter inference neural network that recovers the geometry and permittivity of the breast fibroglandular region. The bulk paramet...
Main Authors: | Keeley Edwards, Vahab Khoshdel, Mohammad Asefi, Joe LoVetri, Colin Gilmore, Ian Jeffrey |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/10/6/674 |
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