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.

torch==1.5.1 torchvision==0.6.1 opencv-python==4.4.0.42

We use two datasets (IU X-Ray and MIMIC-CXR) .