Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation

19 Jul 2018Miguel MonteiroMário A. T. FigueiredoArlindo L. Oliveira

The Conditional Random Field as a Recurrent Neural Network layer is a recently proposed algorithm meant to be placed on top of an existing Fully-Convolutional Neural Network to improve the quality of semantic segmentation. In this paper, we test whether this algorithm, which was shown to improve semantic segmentation for 2D RGB images, is able to improve segmentation quality for 3D multi-modal medical images... (read more)

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Evaluation results from the paper

Task Dataset Model Metric name Metric value Global rank Compare
Volumetric Medical Image Segmentation PROMISE 2012 Fully-connected CRF Dice Score 0.780 # 2