Liver Cancer Detection Using Hybridized Fully Convolutional Neural Network Based on Deep Learning Framework

@article{Dong2020LiverCD,
  title={Liver Cancer Detection Using Hybridized Fully Convolutional Neural Network Based on Deep Learning Framework},
  author={Xin Dong and Yizhao Zhou and Lantian Wang and Jingfeng Peng and Yanbo Lou and Yiqun Fan},
  journal={IEEE Access},
  year={2020},
  volume={8},
  pages={129889-129898}
}
Liver cancer is one of the world’s largest causes of death to humans. It is a difficult task and time consuming to identify the cancer tissue manually in the present scenario. The segmentation of liver lesions in CT images can be used to assess the tumor load, plan treatments predict, and monitor the clinical response. In this paper, the Hybridized Fully Convolutional Neural Network (HFCNN) has been proposed for liver tumor segmentation, which has been modeled mathematically to resolve the… 

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