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Comparison of Two Deep Learning Models and Their Combination for 1-year Lung Cancer Detection in Two Screening Cohorts

Year: 2026

Type: article

Source: Radiology Cardiothoracic Imaging

DOI: 10.1148/ryct.260087

Authors: Anthony P. Reeves, Mohammad Mozafary, Ali Hashemi, Kyle Atlas, Chenyu Zhang, Thomas Atlas, Amir Azimi, Seyed Reza Mirjalili, Rowena Yip, Rozemarijn Vliegenthart, Juan P. de-Torres, J. Alberto Neder, Jessica González, Luis M. Seijo, Claudia Henschke, David Yankelevitz, Morteza Naghavi

Institutions: Cornell University, Icahn School of Medicine at Mount Sinai, University Medical Center Groningen, University of Groningen, Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Centro de Investigación Biomédica en Red, Clinica Universidad de Navarra, Queen's University, Kingston Health Sciences Centre, Hospital Universitari Arnau de Vilanova, Instituto de Investigación Biomédica de Lleida

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Small Business Innovation Research, American College of Radiology Imaging Network, National Institutes of Health, Instituto de Salud Carlos III, European Regional Development Fund, National Cancer Institute

OpenAlex ID: W7225344464

FWCI:

Cites: 28

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Related to: 10