no code implementations • 11 Oct 2023 • Julia Werner, Christoph Gerum, Moritz Reiber, Jörg Nick, Oliver Bringmann
This paper presents a method to efficiently classify the gastroenterologic section of images derived from Video Capsule Endoscopy (VCE) studies by exploring the combination of a Convolutional Neural Network (CNN) for classification with the time-series analysis properties of a Hidden Markov Model (HMM).