Segmentation of medical image using novel dilated ghost deep learning model

HIGHLIGHTS

• who: Wladimir Paredes-Parada et al. from the Instituto Tecnolou0301gico Universitario Rumiu00f1ahui, Sangolquu0131u0301, Ecuador Universidad Tu00e9cnica del Norte, Ibarra, Ecuador have published the research: Segmentation of Medical Image Using Novel Dilated Ghost Deep Learning Model, in the Journal: Computational Intelligence and Neuroscience 450iterations of 12/08/2022
• what: The aim of this research is to distinguish medical pictures using classification findings and neighbouring pixel connections. This study investigates these problems and the cutting-edge ways to solve them that have been proposed. Table 2 shows the analysis of confusion measures for the purpose of applying . . .
  

   

  

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