Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation

arXiv: Computer Vision and Pattern Recognition, Volume abs/1709.04518, 2017.

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Abstract:

We aim at segmenting small organs (e.g., the pancreas) from abdominal CT scans. As the target often occupies a relatively small region in the input image, deep neural networks can be easily confused by the complex and variable background. To alleviate this, researchers proposed a coarse-to-fine approach (Zhou et al. 2016), which used pred...More

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