Machine learning with textural analysis of longitudinal multiparametric MRI and molecular subtypes accurately predicts pathologic complete response in patients with invasive breast cancer
Fig 5
Top 10 most important texture features out of 372 features by F-score.
GLCM features are shown with pixel distance value (1, 3 or 5 pixels), direction (North/South, East/West, North East/South West, or North West/South East), and MRI imaging type (DCE: dynamic contrast enhanced or DWI: diffusion-weighted imaging). GLCM: gray-level co-occurrence matrix.