Jul 4, 2022 · In this paper, we introduce a novel fined-grained knowledge graph structure called an attributed abnormality graph (ATAG).

Feb 15, 2023 · In this paper, we first introduce a novel knowledge graph structure called an attributed abnormality graph (ATAG). It consists of interconnected abnormality ...

In this paper, we propose to automatically construct an abnormality graph with fine-grained attributes using annotated X-ray report and the radiology lexicon ...

This paper introduces a novel knowledge graph structure called an attributed abnormality graph (ATAG), which consists of interconnected abnormality nodes ...

More precisely modeling the relationships of the abnormalities revealed in an X-ray image has been found promising to enhance the clinical accuracy. In this ...

We propose a methodology to automatically construct the fine-grained graph structure based on annotated X-ray reports and the RadLex radiology lexicon.

This GitHub repository summarizes papers and resources related to the radiology report generation (RRG) task.

More precisely modeling the relationships of the abnormalities revealed in an X-ray image has been found promising to enhance the clinical accuracy. In this ...

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation. IEEE Trans. Medical Imaging 42(8): 2211-2222 (2023); 2022. [c1]. view.

[TMI 2023] Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation [paper] ... Radiology Report Generation with Imbalanced Chest X- ...