Automated segmentation of endometrial cancer on MR images using deep learning

Automated segmentation of endometrial cancer on MR images using deep learning

Abstract 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 relev...

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Autores principales: Erlend Hodneland, Julie A. Dybvik, Kari S. Wagner-Larsen, Veronika Šoltészová, Antonella Z. Munthe-Kaas, Kristine E. Fasmer, Camilla Krakstad, Arvid Lundervold, Alexander S. Lundervold, Øyvind Salvesen, Bradley J. Erickson, Ingfrid Haldorsen
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/0c6abe276d154ef9bbcfb07bbc143dfb
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https://doaj.org/article/0c6abe276d154ef9bbcfb07bbc143dfb

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