Automatic radiology report generation is essential for computer-aided diagnosis and
medication guidance. Importantly, automatic radiology report generation (RRG) can relieve …

Report generation models offer fine-grained textual interpretations of medical images like
chest X-rays, yet they often lack interactivity (ie. the ability to steer the generation process …

Medical report generation (MRG) has emerged as a pivotal research topic in the medical
multi-modal field, given its potential to alleviate the heavy workloads of radiologists …

Semantic segmentation is a practical and active task, but severely suffers from the expensive
cost of pixel-level labels when extending to more classes in wider applications. To this end …

Medical vision-and-language models (MVLMs) have attracted substantial interest due to
their capability to offer a natural language interface for interpreting complex medical data …

Given radiology images, automatic radiology report generation aims to produce informative
text that reports diseases. It can benefit current clinical practice in diagnostic radiology …

Fundus angiography, including fundus fluorescein angiography (FFA) and indocyanine
green angiography (ICGA), are essential examination tools for visualizing lesions and …

Automatic radiology report generation can alleviate the workload for physicians and
minimize regional disparities in medical resources, therefore becoming an important topic in …

Automatic generation of ophthalmic reports holds significant potential to lessen clinicians'
workload, enhance work efficiency, and alleviate the imbalance between clinicians and …

Medical report generation (MRG) is essential for computer-aided diagnosis and medication
guidance, which can relieve the heavy burden of radiologists by automatically generating …