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Application of machine learning in CT images and X-rays of COVID-19 pneumonia

Fengjun Zhang

2021Medicine55 citationsDOIOpen Access PDF

Abstract

ABSTRACT: Coronavirus disease (COVID-19) has spread worldwide. X-ray and computed tomography (CT) are 2 technologies widely used in image acquisition, segmentation, diagnosis, and evaluation. Artificial intelligence can accurately segment infected parts in X-ray and CT images, assist doctors in improving diagnosis efficiency, and facilitate the subsequent assessment of the severity of the patient infection. The medical assistant platform based on machine learning can help radiologists make clinical decisions and helper in screening, diagnosis, and treatment. By providing scientific methods for image recognition, segmentation, and evaluation, we summarized the latest developments in the application of artificial intelligence in COVID-19 lung imaging, and provided guidance and inspiration to researchers and doctors who are fighting the COVID-19 virus.

Topics & Concepts

MedicineCoronavirus disease 2019 (COVID-19)PneumoniaArtificial intelligenceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Medical physicsSegmentationComputed tomography2019-20 coronavirus outbreakImage segmentationMedical imagingRadiologyMachine learningComputer visionPathologyDiseaseComputer scienceInfectious disease (medical specialty)Internal medicineOutbreakCOVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education
Application of machine learning in CT images and X-rays of COVID-19 pneumonia | Litcius