Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention

  title={Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention},
  author={Minyoung Chung and Jingyu Lee and Jeongjin Lee and Yeong-Gil Shin},
  journal={Artificial intelligence in medicine},
OBJECTIVE Accurate image segmentation of the liver is a challenging problem owing to its large shape variability and unclear boundaries. Although the applications of fully convolutional neural networks (CNNs) have shown groundbreaking results, limited studies have focused on the performance of generalization. In this study, we introduce a CNN for liver segmentation on abdominal computed tomography (CT) images that focus on the performance of generalization and accuracy. METHODS To improve the… Expand

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