Cross-modal Memory Networks for Radiology Report Generation. (arXiv:2204.13258v1 [cs.CL])

Medical imaging plays a significant role in clinical practice of medical
diagnosis, where the text reports of the images are essential in understanding
them and facilitating later treatments. By generating the reports
automatically, it is beneficial to help lighten the burden of radiologists and
significantly promote clinical automation, which already attracts much
attention in applying artificial intelligence to medical domain. Previous
studies mainly follow the encoder-decoder paradigm and focus on the aspect of
text generation, with few studies considering the …

arxiv generation memory networks radiology report