A patch-based TDA approach for CT volumes outperforms cubical complex persistent homology and radiomic features in classification accuracy while reducing computation time.
The right direction needed to develop white-box deep learning in radiology, pathology, and ophthalmology: A short review.Frontiers in Robotics and AI, 6:24
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.