Deep learning-based segmentation of epithelial ovarian cancer on T2-weighted magnetic resonance images

BACKGROUND: Epithelial ovarian cancer (EOC) segmentation is an indispensable step in assessing the extent of disease and guiding the treatment plan that follows. Currently, manual segmentation is the most commonly used method, despite it being tedious, time-consuming and subject to inter- and intra-...

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Detalles Bibliográficos
Autores principales: Hu, Dingdu, Jian, Junming, Li, Yongai, Gao, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006162/
https://www.ncbi.nlm.nih.gov/pubmed/36915355
http://dx.doi.org/10.21037/qims-22-494

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006162/
https://www.ncbi.nlm.nih.gov/pubmed/36915355
http://dx.doi.org/10.21037/qims-22-494

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