Convolutional neuronal networks combined with X-ray phase-contrast imaging for a fast and observer-independent discrimination of cartilage and liver diseases stages

We applied transfer learning using Convolutional Neuronal Networks to high resolution X-ray phase contrast computed tomography datasets and tested the potential of the systems to accurately classify Computed Tomography images of different stages of two diseases, i.e. osteoarthritis and liver fibrosi...

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Detalles Bibliográficos
Autores principales: Stroebel, Johannes, Horng, Annie, Armbruster, Marco, Mittone, Alberto, Reiser, Maximilian, Bravin, Alberto, Coan, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673137/
https://www.ncbi.nlm.nih.gov/pubmed/33203975
http://dx.doi.org/10.1038/s41598-020-76937-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673137/
https://www.ncbi.nlm.nih.gov/pubmed/33203975
http://dx.doi.org/10.1038/s41598-020-76937-y

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