🍩 Database of Original & Non-Theoretical Uses of Topology

1. The Classification of Endoscopy Images With Persistent Homology (2016)

   Olga Dunaeva, Herbert Edelsbrunner, Anton Lukyanov, Michael Machin, Daria Malkova, Roman Kuvaev, Sergey Kashin

   Abstract

   Aiming at the automatic diagnosis of tumors using narrow band imaging (NBI) magnifying endoscopic (ME) images of the stomach, we combine methods from image processing, topology, geometry, and machine learning to classify patterns into three classes: oval, tubular and irregular. Training the algorithm on a small number of images of each type, we achieve a high rate of correct classifications. The analysis of the learning algorithm reveals that a handful of geometric and topological features are responsible for the overwhelming majority of decisions.

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   • Automated diagnostics
   • Endoscopy
   • Image processing
   • Machine learning
   • Persistent homology