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Open-source pipeline for multi-class segmentation of the spinal cord with deep learning

This paper presents an open-source pipeline to train neural networks to segment structures of interest from MRI data. The pipeline is tailored towards homogeneous datasets and requires relatively low amounts of manual segmentations (few dozen, or less depending on the homogeneity of the dataset). Tw...

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Библиографические подробности
Опубликовано в: :Magn Reson Imaging
Главные авторы: Paugam, François, Lefeuvre, Jennifer, Perone, Christian S., Gros, Charley, Reich, Daniel S., Sati, Pascal, Cohen-Adad, Julien
Формат: Artigo
Язык:Inglês
Опубликовано: 2019
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6800813/
https://ncbi.nlm.nih.gov/pubmed/31004711
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2019.04.009
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