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: | , , , , , , , , , , , |
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Formato: | article |
Lenguaje: | EN |
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Nature Portfolio
2021
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Acceso en línea: | https://doaj.org/article/0c6abe276d154ef9bbcfb07bbc143dfb |
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