Automated segmentation of endometrial cancer on MR images using deep learning

Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses of MR images may provide radiomic tumor signatures potentially relevant for b...

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Detalles Bibliográficos
Autores principales: Hodneland, Erlend, Dybvik, Julie A., Wagner-Larsen, Kari S., Šoltészová, Veronika, Munthe-Kaas, Antonella Z., Fasmer, Kristine E., Krakstad, Camilla, Lundervold, Arvid, Lundervold, Alexander S., Salvesen, Øyvind, Erickson, Bradley J., Haldorsen, Ingfrid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794479/
https://www.ncbi.nlm.nih.gov/pubmed/33420205
http://dx.doi.org/10.1038/s41598-020-80068-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794479/
https://www.ncbi.nlm.nih.gov/pubmed/33420205
http://dx.doi.org/10.1038/s41598-020-80068-9

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