Loss Ensembles for Extremely Imbalanced Segmentation
arXiv:2101.10815
Abstract
This short paper briefly presents our methodology details of automatic intracranial aneurysms segmentation from brain MR scans. We use ensembles of multiple models trained from different loss functions. Our method ranked first place in the ADAM challenge segmentation task. The code and trained models are publicly available at https://github.com/JunMa11/ADAM2020.
1st place in MICCAI ADAM Challenge segmentation task