An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation - researchr publication authors

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Lorenz Berger, Eoin Hyde, M. Jorge Cardoso, Sébastien Ourselin. An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation. In Mark S. Nixon, Sasan Mahmoodi, Reyer Zwiggelaar, editors, Medical Image Understanding and Analysis - 22nd Conference, MIUA 2018, Southampton, UK, July 9-11, 2018, Proceedings. Volume 894 of Communications in Computer and Information Science, pages 277-286, Springer, 2018. [doi]

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