LLM-driven multimodal target volume contouring in radiation oncology
Abstract Target volume contouring for radiation therapy is considered significantly more challenging than the normal organ segmentation tasks as it necessitates the utilization of both image and text-based clinical information. Inspired by the recent advancement of large language models (LLMs) that...
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Main Authors: | Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Yeona Cho, Ik Jae Lee, Jin Sung Kim, Jong Chul Ye |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-10-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-024-53387-y |
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