SOTAVerified

Loss Ensembles for Extremely Imbalanced Segmentation

2020-12-31Code Available1· sign in to hype

Jun Ma

Code Available — Be the first to reproduce this paper.

Reproduce

Code

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.

Tasks

Reproductions