Generating Radiology Reports via Memory-driven Transformer. (arXiv:2010.16056v2 [cs.CL] UPDATED)

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
radiology reports is highly desired to lighten the workload of radiologists and
accordingly promote clinical automation, which is an essential task to apply
artificial intelligence to the medical domain. In this paper, we propose to
generate radiology reports with memory-driven Transformer, where a relational
memory is designed to record key information …

arxiv memory radiology reports transformer