Tissue-Type Classification With Uncertainty Quantification of Microwave and Ultrasound Breast Imaging: A Deep Learning Approach

Tissue-Type Classification With Uncertainty Quantification of Microwave and Ultrasound Breast Imaging: A Deep Learning Approach

A deep learning approach is proposed for performing tissue-type classification of tomographic microwave and ultrasound property images of the breast. The approach is based on a convolutional neural network (CNN) utilizing the U-net architecture that also quantifies the uncertainty in the classificat...

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Bibliographic Details
Main Authors: Pedram Mojabi, Vahab Khoshdel, Joe Lovetri
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Tissue classification
uncertainty quantification
deep learning method
convolutional neural network
microwave tomography
ultrasound tomography
Online Access:https://ieeexplore.ieee.org/document/9210075/

Internet

https://ieeexplore.ieee.org/document/9210075/

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