Automatic segmentation of uterine endometrial cancer on multi-sequence MRI using a convolutional neural network

Endometrial cancer (EC) is the most common gynecological tumor in developed countries, and preoperative risk stratification is essential for personalized medicine. There have been several radiomics studies for noninvasive risk stratification of EC using MRI. Although tumor segmentation is usually ne...

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Detalles Bibliográficos
Autores principales: Kurata, Yasuhisa, Nishio, Mizuho, Moribata, Yusaku, Kido, Aki, Himoto, Yuki, Otani, Satoshi, Fujimoto, Koji, Yakami, Masahiro, Minamiguchi, Sachiko, Mandai, Masaki, Nakamoto, Yuji
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/PMC8280152/
https://www.ncbi.nlm.nih.gov/pubmed/34262088
http://dx.doi.org/10.1038/s41598-021-93792-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280152/
https://www.ncbi.nlm.nih.gov/pubmed/34262088
http://dx.doi.org/10.1038/s41598-021-93792-7

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