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pro vyhledávání: '"Kelly, Garin"'
Autor:
Berger, Lorenz, Hyde, Eoin, Gibb, Matt, Pavithran, Nevil, Kelly, Garin, Mumtaz, Faiz, Ourselin, Sébastien
Training deep neural networks on large and sparse datasets is still challenging and can require large amounts of computation and memory. In this work, we address the task of performing semantic segmentation on large volumetric data sets, such as CT s
Externí odkaz:
http://arxiv.org/abs/1806.05974
