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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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Kurata, Yasuhisa, Nishio, Mizuho, Moribata, Yusaku, Kido, Aki, Himoto, Yuki, Otani, Satoshi, Fujimoto, Koji, Yakami, Masahiro, Minamiguchi, Sachiko, Mandai, Masaki, Nakamoto, Yuji
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8280152/
https://ncbi.nlm.nih.gov/pubmed/34262088
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-93792-7
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