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积极学习算法的比较,用于分类头部计算机断层扫描报告,使用来自变压器的双向编码器表示.

Tomohiro Wataya1,2, Azusa Miura3, Takahisa Sakisuka4

  • 1Department of Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan. wataya-tomo@radiol.med.osaka-u.ac.jp.

International journal of computer assisted radiology and surgery
|January 8, 2025
PubMed
概括

积极学习 (AL) 使用不确定性抽样 (US) 方法,特别是信心比率 (RC) 和边际抽样 (MS),显著改善了头部CT报告的自然语言处理 (NLP). 这种方法减少了对标记数据的需求,并提高了模型的准确性.

关键词:
积极学习是指积极学习.从变压器的双向编码器表示.医疗安全 医疗安全自然语言处理自然语言处理.放射学报告 放射学报告

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