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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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| Publicat a: | Sci Rep |
|---|---|
| Autors principals: | , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2021
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| Matèries: | |
| Accés en línia: | 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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