Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction

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.

Generative Adversarial Network Knowledge Distillation +2

Prediction of a T-cell/MHC-I-based immune profile for colorectal liver metastases from CT images using ensemble learning

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.

Ensemble Learning

End-to-End Discriminative Deep Network for Liver Lesion Classification

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.

Classification General Classification +1