The invention

Name of invention

Recurr-NET: A multimodal pre-operative image-based deep-learning model for predicting hepatocellular carcinoma outcomes

Recurr-NET : Un modèle d'apprentissage profond multimodal basé sur l'image préopératoire pour prédire les résultats du carcinome hépatocellulaire

Invention description

Description

Our multimodal deep-learning model integrates imaging and clinical data for predicting primary liver cancer (hepatocellular carcinoma) outcomes after surgery. It has superior performance to established scores and histology markers for prognostication