Artificial intelligence workflow quantifying muscle features on hematoxylin-eosin stained sections reveals dystrophic phenotype amelioration upon treatment

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  • who: Marie Reinbigler from the Polytechnique PSL University have published the Article: Artificial intelligence workflow quantifying muscle features on Hematoxylin-Eosin stained sections reveals dystrophic phenotype amelioration upon treatment, in the Journal: Scientific Reports Scientific Reports
  • what: To alleviate this problem, the authors propose to explore the overwriting of Cellpose tiling strategy by adding an image tiling pre-processing step and a WSI segmentation | 12:19913 | 3 Vol.:(0123456789) reconstruction post-processing step. The authors describe MyoSOTHES, a tuned workflow designed for quantifying skeletal muscle fiber diameters and CNF on whole slide images of HE . . .

     

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