Automated and real-time segmentation of suspicious breast masses using convolutional neural network.
In this work, a computer-aided tool for detection was developed to segment breast masses from clinical ultrasound (US) scans. The underlying Multi U-net algorithm is based on convolutional neural networks. Under the Mayo Clinic Institutional Review Board protocol, a prospective study of the automati...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5955504?pdf=render |