Computational analysis of pathological image enables interpretable prediction for microsatellite instability

HIGHLIGHTS

  • who: Jin Zhu and collaborators from the Soochow University, China have published the article: Computational Analysis of Pathological Image Enables Interpretable Prediction for Microsatellite Instability, in the Journal: (JOURNAL)
  • what: Motivated by the feedback from Grad-CAM and existing studies , the authors focused on these H and amp;E feature characteristics: global and local color features in RGB and HSV channels, the numbers of infiltrating immune cells and tumor cells, the grading of differentiation, and the texture features from tumor cells. The funder of this study had no role in study design, data collection, data_analysis . . .

     

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