Deep learning and lung ultrasound for Covid-19 pneumonia detection and severity classification.

ABSTRACT: The Covid-19 European outbreak in February 2020 has challenged the world's health systems, eliciting an urgent need for effective and highly reliable diagnostic instruments to help medical personnel. Deep learning (DL) has been demonstrated to be useful for diagnosis using both computed tomography (CT) scans and chest X-rays (CXR), whereby the former typically yields more accurate results. However, the pivoting function of a CT scan during the pandemic presents several drawbacks, including high cost and cross-contamination problems. Radiation-free lung ultrasound (LUS) imaging, which requires high expertise and is thus being underutilised, has demonstrated a strong correlation with CT scan results and a high reliability in pneumonia detection even in the early stages. In this study, we dev

SUBMITTER: La Salvia M 

PROVIDER: S-EPMC8349313 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature