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http://dx.doi.org/10.1053/j.semtcvs.2020.04.011 | DOI Listing |
Tomography
January 2025
Department of Radiology, University of Padova, 35127 Padova, Italy.
This commentary examines Topological Data Analysis (TDA) in radiology imaging, highlighting its revolutionary potential in medical image interpretation. TDA, which is grounded in mathematical topology, provides novel insights into complex, high-dimensional radiological data through persistent homology and topological features. We explore TDA's applications across medical imaging domains, including tumor characterization, cardiovascular imaging, and COVID-19 detection, where it demonstrates 15-20% improvements over traditional methods.
View Article and Find Full Text PDFAn analysis of the methodology used by the authors of the commented article is presented and errors related to data preparation are pointed out.
View Article and Find Full Text PDFAJR Am J Roentgenol
January 2025
Brown Radiology Human Factors Lab, Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, 593 Eddy Street, Providence, RI, USA.
AJR Am J Roentgenol
January 2025
Associate Professor of Radiology, McMaster University, Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences.
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