Automatic Pulmonary Nodule Detection Applying Deep Learning or Machine Learning Algorithms to the LIDC-IDRI Database: A Systematic Review

por Pehrson, Lea Marie, Nielsen, Michael Bachmann, Ammitzbøl Lauridsen, Carsten
Publicado 2019

The Added Effect of Artificial Intelligence on Physicians’ Performance in Detecting Thoracic Pathologies on CT and Chest X-ray: A Systematic Review

por Li, Dana, Pehrson, Lea Marie, Lauridsen, Carsten Ammitzbøl, Tøttrup, Lea, Fraccaro, Marco, Elliott, Desmond, Zając, Hubert Dariusz, Darkner, Sune, Carlsen, Jonathan Frederik, Nielsen, Michael Bachmann
Publicado 2021

Performance and Agreement When Annotating Chest X-ray Text Reports—A Preliminary Step in the Development of a Deep Learning-Based Prioritization and Detection System

por Li, Dana, Pehrson, Lea Marie, Bonnevie, Rasmus, Fraccaro, Marco, Thrane, Jakob, Tøttrup, Lea, Lauridsen, Carsten Ammitzbøl, Butt Balaganeshan, Sedrah, Jankovic, Jelena, Andersen, Tobias Thostrup, Mayar, Alyas, Hansen, Kristoffer Lindskov, Carlsen, Jonathan Frederik, Darkner, Sune, Nielsen, Michael Bachmann
Publicado 2023

Inter- and Intra-Observer Agreement When Using a Diagnostic Labeling Scheme for Annotating Findings on Chest X-rays—An Early Step in the Development of a Deep Learning-Based Decisi...

por Li, Dana, Pehrson, Lea Marie, Tøttrup, Lea, Fraccaro, Marco, Bonnevie, Rasmus, Thrane, Jakob, Sørensen, Peter Jagd, Rykkje, Alexander, Andersen, Tobias Thostrup, Steglich-Arnholm, Henrik, Stærk, Dorte Marianne Rohde, Borgwardt, Lotte, Hansen, Kristoffer Lindskov, Darkner, Sune, Carlsen, Jonathan Frederik, Nielsen, Michael Bachmann
Publicado 2022