Machine learning for prognostic modelling in head and neck cancer using multimodal data

Open Forum on Machine Learning in Head and Neck Cancer

Presenter:

Michal Kazmierski

Abstract:

Michal discussed the results of a machine learning challenge for head and neck cancer (HNC) survival prediction with the aim of 1) developing an accurate prognostic model for HNC survival using clinical, demographic and routinely collected CT imaging data and 2) evaluating the true added value of CT radiomics compared to other prognostic factors.

Modality:

• CT

Organ:

• Head and Neck

Disease:

• Cancer