Liver Segmentation in CT Images Using Three Dimensional to Two Dimensional Fully Convolutional Network

  title={Liver Segmentation in CT Images Using Three Dimensional to Two Dimensional Fully Convolutional Network},
  author={Shima Rafiei and Ebrahim Nasr-Esfahani and S. Mohamad R. Soroushmehr and Nader Karimi and Shadrokh Samavi and Kayvan Najarian},
  journal={2018 25th IEEE International Conference on Image Processing (ICIP)},
The need for CT scan analysis is growing for diagnosis and therapy of abdominal organs. Automatic organ segmentation of abdominal CT scan can help radiologists analyze the scans faster, and diagnose disease and injury more accurately. However, existing methods are not efficient enough to perform the segmentation process for victims of accidents and emergency situations. In this paper, we propose an efficient liver segmentation with our 3D to 2D fully convolution network (3D-2D-FCN). The… 

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