Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys

Deep learning techniques are being rapidly applied to medical imaging tasks—from organ and lesion segmentation to tissue and tumor classification. These techniques are becoming the leading algorithmic approaches to solve inherently difficult image processing tasks. Currently, the most critical requi...

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Detalles Bibliográficos
Autores principales: Kline, Timothy L., Korfiatis, Panagiotis, Edwards, Marie E., Blais, Jaime D., Czerwiec, Frank S., Harris, Peter C., King, Bernard F., Torres, Vicente E., Erickson, Bradley J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537093/
https://www.ncbi.nlm.nih.gov/pubmed/28550374
http://dx.doi.org/10.1007/s10278-017-9978-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537093/
https://www.ncbi.nlm.nih.gov/pubmed/28550374
http://dx.doi.org/10.1007/s10278-017-9978-1

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