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arXiv Open Access 2019

Robustly segmenting quadriceps muscles of ultra-endurance athletes with weakly supervised U-Net

Hoai-Thu Nguyen Pierre Croisille Magalie Viallon Sarah Leclerc Sylvain Grange +3 lainnya
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Abstrak

In this study, segmentation of quadriceps muscle heads of ultra-endurance athletes was done using a multi-atlas segmentation and corrective leaning framework where the registration based multi-atlas segmentation step was replaced with weakly supervised U-Net. For the case with remarkably different morphology, our method produced improved accuracy, while reduced significantly the computation time.

Topik & Kata Kunci

eess.IV

Penulis (8)

H

Hoai-Thu Nguyen

P

Pierre Croisille

M

Magalie Viallon

S

Sarah Leclerc

S

Sylvain Grange

R

Rémi Grange

O

Olivier Bernard

T

Thomas Grenier

Format Sitasi

APA MLA BibTeX
Nguyen, H., Croisille, P., Viallon, M., Leclerc, S., Grange, S., Grange, R. et al. (2019). Robustly segmenting quadriceps muscles of ultra-endurance athletes with weakly supervised U-Net. https://arxiv.org/abs/1908.08294

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓