Type of the paper (article

HIGHLIGHTS

  • who: arr2 from the College of Software, Jilin University, Changchun, China have published the paper: Type of the Paper (Article, in the Journal: Electronics 2023, 12, 763. of /2023/
  • what: The authors propose a network with feedback module to find ambiguous boundaries and regions and module to localize the major region of the microorganism. The authors aimed to automatically segment environmental microorganisms using microscopic imaging based on computer vision technology. The authors propose a novel network built on top of a residual feedback network that has shown its effectiveness in medical image segmentation. 3 of . . .

     

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