Transfer learning from synthetic data applied to soil-root segmentation in x-ray tomography images

HIGHLIGHTS

• who: Clément Douarre and collaborators from the (UNIVERSITY) have published the research: Transfer Learning from Synthetic Data Applied to Soil-Root Segmentation in X-Ray Tomography Images, in the Journal: (JOURNAL)
• what: The authors address this soil-root segmentation problem in X-ray tomography using a variant of supervised deep learning-based classification called transfer learning where the learning stage is based on simulated data. The authors describe how, from the concepts shortly recalled in the previous section, the authors designed an implementation capable of addressing the soil-root segmentation in X-ray tomography . . .
  

   

  

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