BriefGPT.xyz
Oct, 2020
基于记忆驱动的Transformer生成放射学报告
Generating Radiology Reports via Memory-driven Transformer
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Zhihong Chen, Yan Song, Tsung-Hui Chang, Xiang Wan
TL;DR
本文提出了使用记忆驱动Transformer来生成放射学报告,实验证明该方法可以以更高的质量、更长的长度和更多的医学术语产生放射学报告,此为我们所知第一次在MIMIC-CXR上实现放射学报告的生成结果。
Abstract
medical imaging
is frequently used in clinical practice and trials for diagnosis and treatment. Writing imaging reports is time-consuming and can be error-prone for inexperienced radiologists. Therefore, automatically generating
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