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The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs
Automated semantic segmentation of multiple knee joint tissues is desirable to allow faster and more reliable analysis of large datasets and to enable further downstream processing e.g. automated diagnosis. In this work, we evaluate the use of conditional Generative Adversarial Networks (cGANs) as a...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721597/ https://www.ncbi.nlm.nih.gov/pubmed/33075675 http://dx.doi.org/10.1016/j.compmedimag.2020.101793 |