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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Detalles Bibliográficos
Autores principales: Kumar, Viksit, Webb, Jeremy M., Gregory, Adriana, Denis, Max, Meixner, Duane D., Bayat, Mahdi, Whaley, Dana H., Fatemi, Mostafa, Alizad, Azra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955504/
https://www.ncbi.nlm.nih.gov/pubmed/29768415
http://dx.doi.org/10.1371/journal.pone.0195816

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955504/
https://www.ncbi.nlm.nih.gov/pubmed/29768415
http://dx.doi.org/10.1371/journal.pone.0195816

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