Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy
Published in HNTS-MRG 2024 Challenge Proceedings (Springer LNCS), 2025
Our solution as team TUMOR to the HNTS-MRG24 MICCAI Challenge, focused on automated segmentation of primary gross tumor volumes (GTVp) and metastatic lymph node gross tumor volume (GTVn) in pre-RT and mid-RT MRI images, using nnUNet and MedNeXt with multi-level ensembling. This work achieved 1st place in Task 1 (pre-radiotherapy segmentation) of the challenge.
| Read on PMC | arXiv preprint | Code (GitHub) |
Recommended citation: N. Moradi, A. Ferreira, B. Puladi, J. Kleesiek, E. Fatemizadeh, G. Luijten, V. Alves, J. Egger. "Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy." arXiv preprint, 2024.
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