Disease Progression Detection via Deep Sequence Learning of Successive Radiographic Scans.

ABSTRACT: The highly rapid spread of the current pandemic has quickly overwhelmed hospitals all over the world and motivated extensive research to address a wide range of emerging problems. The unforeseen influx of COVID-19 patients to hospitals has made it inevitable to deploy a rapid and accurate triage system, monitor progression, and predict patients at higher risk of deterioration in order to make informed decisions regarding hospital resource management. Disease detection in radiographic scans, severity estimation, and progression and prognosis prediction have been extensively studied with the help of end-to-end methods based on deep learning. The majority of recent works have utilized a single scan to determine severity or predict progression of the disease. In this paper, we present a method

SUBMITTER: Ahmad J 

PROVIDER: S-EPMC8744904 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature