Head and neck cancer patients could greatly benefit from personalised treatment, but a lack of large public datasets hampers this potential. Here, the authors present HANCOCK, a multimodal dataset that integrates demographical, clinical, and histopathological data for 763 head and neck cancer patients that empowers machine learning models for clinical outcome prediction.
- Marion Dörrich
- Matthias Balk
- Andreas M. Kist
