1 research outputs found
Enhancement Mask for Hippocampus Detection and Segmentation
Detection and segmentation of the hippocampal structures in volumetric brain
images is a challenging problem in the area of medical imaging. In this paper,
we propose a two-stage 3D fully convolutional neural network that efficiently
detects and segments the hippocampal structures. In particular, our approach
first localizes the hippocampus from the whole volumetric image while obtaining
a proposal for a rough segmentation. After localization, we apply the proposal
as an enhancement mask to extract the fine structure of the hippocampus. The
proposed method has been evaluated on a public dataset and compares with
state-of-the-art approaches. Results indicate the effectiveness of the proposed
method, which yields mean Dice Similarity Coefficients (i.e. DSC) of
and for the left and right hippocampus, respectively. Furthermore,
extensive experiments manifest that the proposed enhancement mask layer has
remarkable benefits for accelerating training process and obtaining more
accurate segmentation results.Comment: This paper has been published in the proceedings of IEEE
International Conference on Information and Automation 201