Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks

Machine learning has several potential uses in medical imaging for semantic labeling of images to improve radiologist workflow and to triage studies for review. The purpose of this study was to (1) develop deep convolutional neural networks (DCNNs) for automated classification of 2D mammography view...

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Detalles Bibliográficos
Autores principales: Yi, Paul H., Lin, Abigail, Wei, Jinchi, Yu, Alice C., Sair, Haris I., Hui, Ferdinand K., Hager, Gregory D., Harvey, Susan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646449/
https://www.ncbi.nlm.nih.gov/pubmed/31197559
http://dx.doi.org/10.1007/s10278-019-00244-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646449/
https://www.ncbi.nlm.nih.gov/pubmed/31197559
http://dx.doi.org/10.1007/s10278-019-00244-w

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