English

Loss Ensembles for Extremely Imbalanced Segmentation

Image and Video Processing 2021-01-27 v1 Computer Vision and Pattern Recognition

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.

Keywords

Cite

@article{arxiv.2101.10815,
  title  = {Loss Ensembles for Extremely Imbalanced Segmentation},
  author = {Jun Ma},
  journal= {arXiv preprint arXiv:2101.10815},
  year   = {2021}
}

Comments

1st place in MICCAI ADAM Challenge segmentation task

R2 v1 2026-06-23T22:32:48.735Z