Automatic Segmentation of Kidneys using Deep Learning for Total Kidney Volume Quantification in Autosomal Dominant Polycystic Kidney Disease-Reference-Cited by-同舟云学术

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Automatic Segmentation of Kidneys using Deep Learning for Total Kidney Volume Quantification in Autosomal Dominant Polycystic Kidney Disease

Published:2017-05-17 Issue:1 Volume:7 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Sharma Kanishka,Rupprecht Christian,Caroli Anna,Aparicio Maria Carolina,Remuzzi Andrea,Baust Maximilian,Navab Nassir

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-017-01779-0.pdf

Reference43 articles.

1. Grantham, J. J. The etiology, pathogenesis, and treatment of autosomal dominant polycystic kidney disease: recent advances. American journal of kidney diseases 28, 788–803, doi: 10.1016/S0272-6386(96)90378-9 (1996).

2. Torres, V. E., Harris, P. C. & Pirson, Y. Autosomal dominant polycystic kidney disease. The Lancet 369, 1287–1301, doi: 10.1016/S0140-6736(07)60601-1 (2007).

3. Pirson, Y. Extrarenal manifestations of autosomal dominant polycystic kidney disease. Advances in chronic kidney disease 17, 173–180, doi: 10.1053/j.ackd.2010.01.003 (2010).

4. Pei, Y. Diagnostic approach in autosomal dominant polycystic kidney disease. Clinical Journal of the American Society of Nephrology 1, 1108–1114, doi: 10.2215/CJN.02190606 (2006).

5. Fick-Brosnahan, G. M., Belz, M. M., McFann, K. K., Johnson, A. M. & Schrier, R. W. Relationship between renal volume growth and renal function in autosomal dominant polycystic kidney disease: a longitudinal study. American journal of kidney diseases 39, 1127–1134, doi: 10.1053/ajkd.2002.33379 (2002).

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