Semantic segmentation of synchrotron tomography of multiphase al-si alloys using a convolutional neural network with a pixel-wise weighted loss function

HIGHLIGHTS

• who: Tobias Strohmann from the e of Materials Research, Linder Hoehe, Cologne, GermanyAachen University have published the research work: Semantic segmentation of synchrotron tomography of multiphase Al-Si alloys using a convolutional neural network with a pixel-wise weighted loss function, in the Journal: Scientific Reports Scientific Reports
• what: The aim of this transformation is to obtain a map that contains extended Si-aluminide interfaces.
• how: The microstructural constituents of this dataset were segmented following a method developed by the authors that combines data acquired using laboratory X-ray CT synchrotron CT chemical . . .
  

   

  

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