The HECKTOR 2025 challenge, building on previous iterations, established a benchmark for automated head and neck cancer analysis using multimodal PET/CT imaging and electronic health records. This challenge involved over 1,100 patients from 10 global centers and tasked 35 registered teams with segmenting tumors, predicting recurrence-free survival, and classifying HPV status. The top 15 submissions demonstrated promising results, with algorithms achieving a mean Dice similarity coefficient of 0.75 for segmentation, a concordance index of 0.66 for survival prediction, and a balanced accuracy of 0.56 for HPV classification. AI
IMPACT This benchmark could accelerate the development and clinical adoption of AI-powered tools for oncology, improving radiotherapy planning and patient outcome prediction.
RANK_REASON The cluster reports on a benchmark challenge and its results presented in a research paper.
- Dice similarity coefficient
- GTVn
- GTVp
- HECKTOR 2025
- human papillomavirus infection
- PET/CT
- balanced accuracy
- Head and neck cancers
- HECKTOR 2020-2022
- human papillomavirus
- radiotherapy
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