arXiv Open Access 2020

Loss Ensembles for Extremely Imbalanced Segmentation

Jun Ma

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Abstrak

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.

Topik & Kata Kunci

eess.IV cs.CV

Penulis (1)

Jun Ma

Format Sitasi

APA MLA BibTeX

Ma, J. (2020). Loss Ensembles for Extremely Imbalanced Segmentation. https://arxiv.org/abs/2101.10815

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓