Evaluation of a hybrid pipeline for automated segmentation of solid lesions based on mathematical algorithms and deep learning

We evaluate the accuracy of an original hybrid segmentation pipeline, combining variational and deep learning methods, in the segmentation of CT scans of stented aortic aneurysms, abdominal organs and brain lesions. The hybrid pipeline is trained on 50 aortic CT scans and tested on 10. Additionally,...

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Detalles Bibliográficos
Autores principales: Burrows, Liam, Chen, Ke, Guo, Weihong, Hossack, Martin, McWilliams, Richard G., Torella, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392778/
https://www.ncbi.nlm.nih.gov/pubmed/35987824
http://dx.doi.org/10.1038/s41598-022-18173-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392778/
https://www.ncbi.nlm.nih.gov/pubmed/35987824
http://dx.doi.org/10.1038/s41598-022-18173-0

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