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Instruments Segmentation in X-ray Fluoroscopic Images for Endoscopic Retrograde Cholangio Pancreatography

Abstract : In this work, we propose a method to segment endoscope and guidewire from 2D X-ray fluoroscopic images of an endoscopic retrograde cholangiopancreatography (ERCP). We used an improved U-Net model. We obtained a Dice score of 0.94±0.05 for endoscope segmentation and a Hausdorff distance of 24.26 pixels for the guidewire segmentation. These preliminary results pave the way for further applications aiming at aiding the medical procedure.
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https://hal.sorbonne-universite.fr/hal-03684463
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Submitted on : Wednesday, June 1, 2022 - 2:03:45 PM
Last modification on : Friday, June 10, 2022 - 2:29:07 PM

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Garance Martin, Saad El-Madafri, Aymeric Becq, Jérôme Szewczyk, Isabelle Bloch. Instruments Segmentation in X-ray Fluoroscopic Images for Endoscopic Retrograde Cholangio Pancreatography. Studies in Health Technology and Informatics, IOS Press, 2022, Studies in Health Technology and Informatics, 294, pp.133-134. ⟨10.3233/shti220416⟩. ⟨hal-03684463⟩

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