Recognition of tenogenic differentiation using convolutional neural network
Methodologies to assess stem cell differentiation in the culturing state are needed for regenerative medicine and tissue engineering techniques. In recent years, convolutional neural networks (CNNs), a class of deep neural networks, have made impressive advancements in image-based classification, re...
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Autores principales: | Dursun Gözde, Balkrishna Tandale Saurabh, Eschweiler Jörg, Tohidnezhad Mersedeh, Markert Bernd, Stoffel Marcus |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
De Gruyter
2020
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Materias: | |
Acceso en línea: | https://doaj.org/article/a91a5e65f8314e5ca36f9925f0696e7a |
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