The Hamlyn Symposium on Medical Robotics 2022: 26th-29th June 2022
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Validation of Deep Learning based lumen segmentation methods in anatomical phantoms.

In recent years, with the development of new tools for Minimal Invasive Robotic Surgery (MIRS), the implementation of navigation algorithms has risen as an interesting challenge[1]. Some novel developments have proposed the use of navigation methods based on image information, and specifically by using Deep Learning-based methods[2].

As a further step to determine the feasibility of applying these image-based methods for lumen segmentation, and its later merge with a robotic endoscope, for autonomous navigation, a platform where to test this devices is needed.

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