Automatic Detection and Segmentation of Kidneys in 3D CT Images Using Random Forests
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-33454-2_9
Reference17 articles.
1. Spiegel, M., et al.: Segmentation of kidneys using a new active shape model generation technique based on non-rigid image registration. Comput. Med. Imaging Graph. 33(1), 29–39 (2009)
2. Lecture Notes in Computer Science;X. Li,2011
3. Lecture Notes in Computer Science;F. Khalifa,2011
4. Lecture Notes in Computer Science;B. Tsagaan,2002
5. LNCS;B. Mory,2012
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