Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network

BACKGROUND: In the management of cancer patients, determination of TNM status is essential for treatment decision-making and therefore closely linked to clinical outcome and survival. Here, we developed a tool for automatic three-dimensional (3D) localization and segmentation of cervical lymph nodes...

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Detalles Bibliográficos
Autores principales: Rinneburger, Miriam, Carolus, Heike, Iuga, Andra-Iza, Weisthoff, Mathilda, Lennartz, Simon, Hokamp, Nils Große, Caldeira, Liliana, Shahzad, Rahil, Maintz, David, Laqua, Fabian Christopher, Baeßler, Bettina, Klinder, Tobias, Persigehl, Thorsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382409/
https://www.ncbi.nlm.nih.gov/pubmed/37505296
http://dx.doi.org/10.1186/s41747-023-00360-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382409/
https://www.ncbi.nlm.nih.gov/pubmed/37505296
http://dx.doi.org/10.1186/s41747-023-00360-x

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