A patch-based TDA approach for CT volumes outperforms cubical complex persistent homology and radiomic features in classification accuracy while reducing computation time.
Persistent-homology-based machine learning: a survey and a comparative study.Artificial Intelligence Review, 55(7):5169–5213
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A Novel Patch-Based TDA Approach for Computed Tomography Imaging
A patch-based TDA approach for CT volumes outperforms cubical complex persistent homology and radiomic features in classification accuracy while reducing computation time.