Deep learning analysis provides accurate COVID-19 diagnosis on chest computed tomography.

ABSTRACT:

Introduction

Computed Tomography is an essential diagnostic tool in the management of COVID-19. Considering the large amount of examinations in high case-load scenarios, an automated tool could facilitate and save critical time in the diagnosis and risk stratification of the disease.

Methods

A novel deep learning derived machine learning (ML) classifier was developed using a simplified programming approach and an open source dataset consisting of 6868 chest CT images from 418 patients which was split into training and validation subsets. The diagnostic performance was then evaluated and compared to experienced radiologists on an independent testing dataset. Diagnostic performance metrics were calculated using Receiver Operating Characteristics (ROC) analysis. Operating point

SUBMITTER: Javor D 

PROVIDER: S-EPMC7641539 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature