One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks

In recent years, several convolutional neural network (CNN) methods have been proposed for the automated white matter lesion segmentation of multiple sclerosis (MS) patient images, due to their superior performance compared with those of other state-of-the-art methods. However, the accuracies of CNN...

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Detalles Bibliográficos
Autores principales: Valverde, Sergi, Salem, Mostafa, Cabezas, Mariano, Pareto, Deborah, Vilanova, Joan C., Ramió-Torrentà, Lluís, Rovira, Àlex, Salvi, Joaquim, Oliver, Arnau, Lladó, Xavier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413299/
https://www.ncbi.nlm.nih.gov/pubmed/30555005
http://dx.doi.org/10.1016/j.nicl.2018.101638

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413299/
https://www.ncbi.nlm.nih.gov/pubmed/30555005
http://dx.doi.org/10.1016/j.nicl.2018.101638

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