Image-based artificial intelligence methods for product control of tablet coating quality

HIGHLIGHTS

  • who: Cosima Hirschberg and collaborators from the Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark have published the article: Image-Based Artificial Intelligence Methods for Product Control of Tablet Coating Quality, in the Journal: Pharmaceutics 2020, 12,12,x x Pharmaceutics 2020, of /2020/
  • what: The aim of this work was to investigate the use of image analysis to classify the quality of coated tablets. This study demonstrated the possibility of using a conventional office scanner for quality_control of coated tablets.

SUMMARY

    Similarly, the quality of a coated . . .

     

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