no code implementations • 17 Nov 2023 • Mohamed El Amine Elforaici, Emmanuel Montagnon, Francisco Perdigon Romero, William Trung Le, Feryel Azzi, Dominique Trudel, Bich Nguyen, Simon Turcotte, An Tang, Samuel Kadoury
We use an attention-based approach that weighs the importance of different slide regions in producing the final classification results.
no code implementations • 6 Mar 2023 • Ralph Saber, David Henault, Rolando Rebolledo, Simon Turcotte, Samuel Kadoury
To this end, we propose an ensemble network combining multiple Attentive Interpretable Tabular learning (TabNet) models, trained using CT-derived radiomic features.
no code implementations • 28 Jan 2019 • Francisco Perdigon Romero, Andre Diler, Gabriel Bisson-Gregoire, Simon Turcotte, Real Lapointe, Franck Vandenbroucke-Menu, An Tang, Samuel Kadoury
In the present work we introduce an end-to-end deep learning approach to assist in the discrimination between liver metastases from colorectal cancer and benign cysts in abdominal CT images of the liver.