Loss Ensembles for Extremely Imbalanced Segmentation

December 31, 2020 · Entered Twilight · 🏛 arXiv.org

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Repo contents: ADAM_Postprocess.py, ADAM_Preprocess.py, LICENSE, README.md, input, nnUNet, output, seg_initial

Authors Jun Ma arXiv ID 2101.10815 Category eess.IV: Image & Video Processing Cross-listed cs.CV Citations 1 Venue arXiv.org Repository https://github.com/JunMa11/ADAM2020 ⭐ 38 Last Checked 2 months ago
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.
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