2021/05/16 by Sara Atito Ali Ahmed, Mehmet Can Yavuz, Ahmed, Sara Atito Ali +26 · 1 citation
Computer Science · Engineering · Medicine · #AI in cancer detection #Artificial intelligence #COVID-19 diagnosis using AI #Computed tomography #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Coronavirus disease 2019 (COVID-19) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Medicine #Nuclear medicine #Pathology #Pattern recognition (psychology) #Physics #Radiography #Radiology #Radiomics and Machine Learning in Medical Imaging #Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) #Volume (thermodynamics) #cs.CV #cs.LG #eess.IV #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2105.08506
published in arXiv (Cornell University) (Cornell University)
openalex publication_date 2021/05/16 · arxiv created 2021/05/20 · arxiv updated 2021/05/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Detecting COVID-19 in computed tomography (CT) or radiography images has been proposed as a supplement to the definitive RT-PCR test. We present a deep learning ensemble for detecting COVID-19 infection, combining slice-based (2D) and volume-based (3D) approaches. The 2D system detects the infection on each CT slice independently, combining them to obtain the patient-level decision via different methods (averaging and long-short term memory networks). The 3D system takes the whole CT volume to arrive to the patient-level decision in one step. A new high resolution chest CT scan dataset, called the IST-C dataset, is also collected in this work. The proposed ensemble, called IST-CovNet, obtains 90.80% accuracy and 0.95 AUC score overall on the IST-C dataset in detecting COVID-19 among normal controls and other types of lung pathologies; and 93.69% accuracy and 0.99 AUC score on the publicly available MosMed dataset that consists of COVID-19 scans and normal controls only. The system is deployed at Istanbul University Cerrahpasa School of Medicine.