Automatic COVID-19 and Common-Acquired Pneumonia Diagnosis Using Chest CT Scans.

ABSTRACT: Even with over 80% of the population being vaccinated against COVID-19, the disease continues to claim victims. Therefore, it is crucial to have a secure Computer-Aided Diagnostic system that can assist in identifying COVID-19 and determining the necessary level of care. This is especially important in the Intensive Care Unit to monitor disease progression or regression in the fight against this epidemic. To accomplish this, we merged public datasets from the literature to train lung and lesion segmentation models with five different distributions. We then trained eight CNN models for COVID-19 and Common-Acquired Pneumonia classification. If the examination was classified as COVID-19, we quantified the lesions and assessed the severity of the full CT scan. To validate the system, we used R

SUBMITTER: Motta PC 

PROVIDER: S-EPMC10215490 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature