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...

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Bibliografische gegevens
Gepubliceerd in:PLoS One
Hoofdauteurs: Kumar, Viksit, Webb, Jeremy M., Gregory, Adriana, Denis, Max, Meixner, Duane D., Bayat, Mahdi, Whaley, Dana H., Fatemi, Mostafa, Alizad, Azra
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Public Library of Science 2018
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Research Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5955504/
https://ncbi.nlm.nih.gov/pubmed/29768415
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0195816
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