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通过强化学习和文本增大改进放射学报告生成质量和多样性

Daniel Parres1, Alberto Albiol1, Roberto Paredes1,2

  • 1Campus de Vera, Universitat Politècnica València, Camí de Vera s/n, 46022 Valencia, Spain.

Bioengineering (Basel, Switzerland)
|April 27, 2024
PubMed
概括

这项研究使用深度学习与强化学习和文本增强来增强放射学报告生成 (RRG). 改进的视觉编码器-解码器模型在医疗报告中实现了卓越的准确性和多样性.

关键词:
胸部X射线 胸部X射线深度学习是一种深度学习.机器学习是机器学习.医疗图像医学图像放射学报告的生成强化学习是一种强化学习.文本增强 文本增强文本生成 文本生成视觉变压器 视觉变压器

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