๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐กไธจFirst-Authored Survey Paper for RRG by Liu Chang๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐กไธจFirst-Authored Survey Paper for RRG by Liu Chang

๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐กไธจFirst-Authored Survey Paper for RRG

Liu Chang

Liu Chang

Researcher & First Author ๐Œ๐จ๐ญ๐ข๐ฏ๐š๐ญ๐ข๐จ๐ง & ๐‚๐ก๐š๐ฅ๐ฅ๐ž๐ง๐ ๐ž: Radiology report generation, particularly deep learning-based methods, can be boardly categorized into visual, textual and cross-modal methods. For this topic, our paper offers a systematic review organizes the field and examines datasets, evaluation metrics and comparative performance. ๐‘๐ž๐ฌ๐ฎ๐ฅ๐ญ๐ฌ & ๐•๐ž๐ง๐ฎ๐ž๐ฌ: A structured taxonomy, benchmark reference and analysis of open challenges to guide research. Public arXiv preprint; submitted to IEEE TPAMI. ๐‹๐ข๐ง๐ค๏ผšhttps://arxiv.org/pdf/2311.14199
Like this project

Posted Sep 15, 2026

RRG survey covering visual, textual, and cross-modal methods, datasets, metrics, benchmarks, and challenges. arXiv; submitted to TPAMI.

Likes

1

Views

0