Nonlinear image registration and pixel classification pipeline for the study of tumor heterogeneity maps

HIGHLIGHTS

• who: Laura Nicolás-Sáenz and colleagues from the Departamento de Bioingenieria e Ingenieria Aeroespacial, Universidad Carlos III de Madrid, Centre for Biomedical Network Research on Rare Diseases (CIBERER), , Madrid, Spain have published the research work: Nonlinear Image Registration and Pixel Classification Pipeline for the Study of Tumor Heterogeneity Maps, in the Journal: Entropy 2020, 22, 946 of /2020/
• what: The authors propose an entirely automatic, non-supervised method for the creation of tumor spatial heterogeneity maps. The full results are available in Tables 2 (Gastric) and 3 (Lung Lobes), where the authors compare . . .
  

   

  

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