High-order Feature Learning for Multi-atlas based Label Fusion: Application to Brain Segmentation with MRI
IEEE Trans. Image Processing, pp. 2702-2713, 2020.
Multi-atlas based segmentation methods have shown their effectiveness in brain regions-of-interesting (ROIs) segmentation, by propagating labels from multiple atlases to a target image based on the similarity between patches in the target image and multiple atlas images. Most of the existing multiatlas based methods use image intensity fe...More
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