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Automated Detection of Heterogeneity in Medical Tactile Images
Rozalia Solodova, Vladimir Staroverov, Vladimir Galatenko, Alexey Galatenko, Evgeny Solodov, Alexey Antonov, Vladimir Budanov, Mikhail Sokolov, Victor Sadovnichy
Artificial tactile sensing is a capability important for many applications and, in particular, for endoscopic surgery. A recently developed Medical Tactile Endosurgical Complex (MTEC) that is a certified and commercially available product is an efficient tool that provides such a capability. Currently the analysis of intraoperative tactile images that are registered and visualized by MTEC is performed manually by a surgeon. We show that heterogeneity detection – a key constituent of intraoperative tactile images analysis – can be efficiently automated. Such automation essentially reduces the requirement of attention retaining during the MTEC-based palpation.
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