Semantic analysis of real endoscopies with unsupervised learned descriptors
O. León Barbed, Cristina Oriol, Pablo Azagra Millán, Ana C Murillo
This work explores automatic analysis of medical procedure recordings, in particular, endoscopies. Regular medical practice recordings are noisy and challenging to process, so a quick and automatic overview of their content is essential. We show how advances in unsupervised representation learning can be applied to real medical data, obtaining rich descriptors to perform automatic semantic analysis of these recordings.
Friday 8th July
Poster Session 3.1 - onsite 15:20 - 16:20, virtual 11:00 - 12:00 (UTC+2)