Incision trajectory tracing for electrosurgical navigation by CNN-based knife contacting frames extraction method
Published in Computer Methods and Programs in Biomedicine, 2026
This collaborative study uses a convolutional neural network to identify video frames in which an electrosurgical instrument is actually in contact with tissue. Selecting these frames supports more accurate incision trajectory reconstruction than methods based solely on thermal centroids.
The study evaluates electric and ultrasonic surgical tools in controlled experimental conditions, demonstrating the feasibility of contact-state recognition for image-guided surgical navigation.
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Recommended citation: Wang YC, Chen K, Ienaga N, Kuroda Y. Incision trajectory tracing for electrosurgical navigation by CNN-based knife contacting frames extraction method. Computer Methods and Programs in Biomedicine, 286, 109612 (2026). doi:10.1016/j.cmpb.2026.109612.
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