Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy
Volume delineation of organs-at risk (OARs) and target tumors is an indispensable process for creating radiotherapy treatment planning. Herein, the authors propose a lightweight deep learning framework to empower the rapid and precise volume delineation of whole-body OARs and target tumors.
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-11-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-34257-x |