Deep learning-based fully automatic segmentation of wrist cartilage in MR images

The study objective was to investigate the performance of a dedicated convolutional neural network (CNN) optimized for wrist cartilage segmentation from 2D MR images. CNN utilized a planar architecture and patch-based (PB) training approach that ensured optimal performance in the presence of a limit...

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Detalhes bibliográficos
Publicado no:NMR Biomed
Principais autores: Brui, Ekaterina, Efimtcev, Aleksandr Y., Fokin, Vladimir A., Fernandez, Remi, Levchuk, Anatoliy G., Ogier, Augustin C., Samsonov, Alexey A., Mattei, Jean. P., Melchakova, Irina V., Bendahan, David, Andreychenko, Anna
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7784718/
https://ncbi.nlm.nih.gov/pubmed/32394453
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/nbm.4320
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