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Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
2017
Medical Image Analysis
We propose a dual pathway, 11-layers deep, three-dimensional Convolutional Neural Network for the challenging task of brain lesion segmentation. The devised architecture is the result of an in-depth analysis of the limitations of current networks proposed for similar applications. To overcome the computational burden of processing 3D medical scans, we have devised an efficient and effective dense training scheme which joins the processing of adjacent image patches into one pass through the
doi:10.1016/j.media.2016.10.004
pmid:27865153
fatcat:nuf3ml26obe4zaghbasznuzuvm