no code implementations • 21 Dec 2022 • Jorge F. Lazo, Benoit Rosa, Michele Catellani, Matteo Fontana, Francesco A. Mistretta, Gennaro Musi, Ottavio De Cobelli, Michel de Mathelin, Elena De Momi
We address the challenge of tissue classification when annotations are available only in one domain, in our case WLI, and the endoscopic images correspond to an unpaired dataset, i. e. there is no exact equivalent for every image in both NBI and WLI domains.
no code implementations • 8 Apr 2021 • Jorge F. Lazo, Sara Moccia, Aldo Marzullo, Michele Catellani, Ottavio De Cobelli, Benoit Rosa, Michel de Mathelin, Elena De Momi
In this work we study the implementation of 3 different Convolutional Neural Networks (CNNs), using a 2-steps training strategy, to classify images from the urinary tract with and without lesions.