Attention based automated radiology report generation using CNN and LSTM.

ABSTRACT: The automated generation of radiology reports provides X-rays and has tremendous potential to enhance the clinical diagnosis of diseases in patients. A new research direction is gaining increasing attention that involves the use of hybrid approaches based on natural language processing and computer vision techniques to create auto medical report generation systems. The auto report generator, producing radiology reports, will significantly reduce the burden on doctors and assist them in writing manual reports. Because the sensitivity of chest X-ray (CXR) findings provided by existing techniques not adequately accurate, producing comprehensive explanations for medical photographs remains a difficult task. A novel approach to address this issue was proposed, based on the continuous integratio

SUBMITTER: Sirshar M 

PROVIDER: S-EPMC8736265 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature