Image-level supervision and self-training for transformer-based cross-modality tumor segmentation

Malo Alefsen de Boisredon d'Assier, Aloys Portafaix, Eugene Vorontsov, William Trung Le, Samuel Kadoury

Abstract: Highlights•A new 3D domain adaptation framework is proposed for cross-modality segmentation.•A semi-supervised component is integrated to mitigate the lack of annotations in source and target domains.•Based on effective vision transformer backbone architectures and self-training.•Validated on two separate cross-modality segmentations tasks, namely brain tumor and vestibular schwannoma.