Detection and quantification of pulmonary embolism with artificial intelligence: The SFR 2022 artificial intelligence data challenge-Reference-Cited by-同舟云学术

Detection and quantification of pulmonary embolism with artificial intelligence: The SFR 2022 artificial intelligence data challenge

Published:2023-10 Issue:10 Volume:104 Page:485-489
ISSN:2211-5684
Container-title:Diagnostic and Interventional Imaging
language:en
Short-container-title:Diagnostic and Interventional Imaging

Author:

Belkouchi Younes^ORCID,Lederlin Mathieu,Ben Afia Amira,Fabre Clement,Ferretti Gilbert,De Margerie Constance,Berge Pierre,Liberge Renan,Elbaz Nicolas,Blain Maxime,Brillet Pierre-Yves,Chassagnon Guillaume,Cadour Farah,Caramella Caroline,Hajjam Mostafa El,Boussouar Samia,Hadchiti Joya,Fablet Xavier,Khalil Antoine^ORCID,Luciani Alain^ORCID,Cotten Anne,Meder Jean-Francois,Talbot Hugues,Lassau Nathalie

Funder

Société Française de Radiologie

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology

Reference21 articles.

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4. Artificial intelligence in diagnostic and interventional radiology: where are we now?;Boeken;Diagn Interv Imaging,2023

5. Machine learning and deep neural network applications in the thorax: pulmonary embolism, chronic thromboembolic pulmonary hypertension, aorta, and chronic obstructive pulmonary disease;Remy-Jardin;J Thorac Imaging,2020

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