A Systematic Review of Deep Learning-based Research on Radiology Report Generation

arXiv:2311.14199v2 Announce Type: replace
Abstract: Radiology report generation (RRG) aims to automatically generate free-text descriptions from clinical radiographs, e.g., chest X-Ray images. RRG plays an essential role in promoting clinical automation and presents significant help to provide practical assistance for inexperienced doctors and alleviate radiologists' workloads. Therefore, consider these meaningful potentials, research on RRG is experiencing explosive growth in the past half-decade, especially with the rapid development of deep learning approaches. Existing studies perform RRG from the perspective of enhancing …

abstract arxiv automation clinical cs.cl cs.cv deep learning doctors free generate images practical radiology ray report research review role text type workloads x-ray