Corpus ID: 221995730

A Comprehensive Review for MRF and CRF Approaches in Pathology Image Analysis

@article{Li2020ACR,
  title={A Comprehensive Review for MRF and CRF Approaches in Pathology Image Analysis},
  author={Chen Li and Yixin Li and Changhao Sun and Hao Chen and Hong Zhang},
  journal={ArXiv},
  year={2020},
  volume={abs/2009.13721}
}
  • Chen Li, Yixin Li, +2 authors Hong Zhang
  • Published 2020
  • Computer Science
  • ArXiv
  • Pathology image analysis is an essential procedure for clinical diagnosis of many diseases. To boost the accuracy and objectivity of detection, nowadays, an increasing number of computer-aided diagnosis (CAD) system is proposed. Among these methods, random field models play an indispensable role in improving the analysis performance. In this review, we present a comprehensive overview of pathology image analysis based on the markov random fields (MRFs) and conditional random fields (CRFs… CONTINUE READING
    1 Citations

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