Semantic Feedback-Based RAG for Radiology Report Generation

Radiology report generation aims to produce textual reports automatically based on input images, a critical process that aids in accurate diagnoses and lightens the workload of radiologists. Following recent advances in Large Language Models (LLMs), several Retrieval-Augmented Generation (RAG) based...

詳細記述

書誌詳細

主要な著者:	Xing Jia, Yun Xiong, Songwen Pei, Yumeng Zhang, Cairong Yan, Zhijun Fang
フォーマット:	Artigo
言語:	Inglês
出版事項:	Tsinghua University Press 2026-04-01
シリーズ:	Big Data Mining and Analytics
主題:	radiology report generation retrieval-augmented generation (rag) semantic assessment
オンライン･アクセス:	https://www.sciopen.com/article/10.26599/BDMA.2025.9020037
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