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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
Publicado en:J Digit Imaging
Main Authors: 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: Artigo
Idioma:Inglês
Publicado: Springer International Publishing 2017
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC5537093/
https://ncbi.nlm.nih.gov/pubmed/28550374
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-017-9978-1
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