Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation

arXiv:2405.05488v1 Announce Type: new
Abstract: A comprehensive and reliable survival prediction model is of great importance to assist in the personalized management of Head and Neck Cancer (HNC) patients treated with curative Radiation Therapy (RT). In this work, we propose IMLSP, an Interpretable Multi-Label multi-modal deep Survival Prediction framework for predicting multiple HNC survival outcomes simultaneously and provide time-event specific visual explanation of the deep prediction process. We adopt Multi-Task Logistic Regression (MTLR) layers to convert survival prediction from a …

abstract arxiv cancer cs.cv head importance interpretation management modal multi-modal patients personalized physics.med-ph prediction survival therapy type via work