Artificial intelligence-based semisupervised self-training algorithm in pathological tissue image segmentation

HIGHLIGHTS

  • who: Artificial Intelligence-Based, Semisupervised Self-Training and Qun, Li from the School of Electronic Information Engineering, Ningbo Polytechnic, Ningbo, China School of Information and Engineering, China Jiliang University, Hangzhou, Zhejiang, China have published the research: Artificial Intelligence-Based Semisupervised Self-Training Algorithm in Pathological Tissue Image Segmentation, in the Journal: Computational Intelligence and Neuroscience of 13/06/2022
  • what: In this step, the authors attempt to detect the cells that may be undergoing mitosis and then use the classification network to further screen out the mitotic cells and eliminate them. Comparing the edge expansion . . .

     

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