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...

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Detalles Bibliográficos
Autores principales: Kessler, Dimitri A., MacKay, James W., Crowe, Victoria A., Henson, Frances M.D., Graves, Martin J., Gilbert, Fiona J., Kaggie, Joshua D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science 2020
Materias:
Article
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

Internet

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

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