ICARE: winning solution for the MICCAI 2022 challenge: HEad and neCK TumOR (HECKTOR) for the outcome prediction task from PET/CT.

Created as a part of the HEad and neCK TumOR segmentation and outcome prediction in PET/CT images challenge, 3^rd edition (HECKTOR 2022), the Individual Coefficient Approximation for Risk Estimation (ICARE) was ranked as the winning solution. Developped in collaboration with LITO research team, this survival model uses a minimal learning strategy to reduce to risk of overfitting on the often noisy and censored survival data. For ensembling strategies, it also includes a dedicated bagging aggregator. This easy-to-use package was presented by Louis Rebaud and Thibault Escobar at the 25^th international conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) congress in Singapore.

 “Head and Neck Tumor and Lymph Node Segmentation and Outcome Prediction from 18F-FDG PET/CT Images: Simplicity is All You Need” preprint paper is available here.