Automatically understanding the content of medical images and delivering accurate
descriptions is an emerging field of artificial intelligence that combines skills in both …

Image captioning, also called report generation in medical field, aims to describe visual
content of images in human language, which requires to model semantic relationship …

Fairness is a critical concern in deep learning especially in healthcare where these models
influence diagnoses and treatment decisions. Although fairness has been investigated in the …

Recent advances in deep learning have shown great potential for the automatic generation
of medical imaging reports. Deep learning techniques, inspired by image captioning, have …

With the advancement in artificial intelligence (AI) based E-healthcare applications, the role
of automated diagnosis of various diseases has increased at a rapid rate. However, most of …

Chest X-ray reporting aims at generating linguistic descriptions automatically for chest X-ray
images, in which accurate detection and description of abnormalities are essential …

Medical image captioning is a very challenging task that has been rarely addressed in the
literature on natural image captioning. Some existing image captioning techniques exploit …

Automatic image captioning is an interesting task that lies at the intersection of computer
vision and natural language processing. Although image captioning based on reinforcement …

Image captioning is one of the challenging tasks that cross the computer vision and the
Natural Language Processing (NLP) domain. Its main task is to interpret images in a …

Current many vision-based research uses various classification, detection, and
segmentation methods to identify bridge damage. Instead of these numerical results, a …