Mp-net: deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams

HIGHLIGHTS

• who: Ho-min Park et al. from the Center for Biosystems and Biotech Science, Ghent University Global Campus, Incheon, South Korea have published the research work: MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams, in the Journal: PLOS ONE of 30/Nov/2021
• what: This study proposes deep learning-based image segmentation method that properly distinguishes fluorescent MP from other elements in given microscopy image. total of nine different deep learning models six of which based U-Net were investigated. These tools suffer from drawbacks like overestimation and . . .
  

   

  

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