Machine Learning and Deep Neural Network ...
Document type :
Article dans une revue scientifique: Article original
PMID :
Permalink :
Title :
Machine Learning and Deep Neural Network Applications in the Thorax: Pulmonary Embolism, Chronic Thromboembolic Pulmonary Hypertension, Aorta, and Chronic Obstructive Pulmonary Disease.
Author(s) :
Remy, Martine [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Faivre, Jean-Baptiste [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Kaergel, Rainer [Auteur]
Hutt, Antoine [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Felloni, Paul [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Khung, Suonita [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Lejeune, Anne-Laure [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Giordano, Jessica [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Remy, Jacques [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Remy, Jacques [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Faivre, Jean-Baptiste [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Kaergel, Rainer [Auteur]
Hutt, Antoine [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Felloni, Paul [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Khung, Suonita [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Lejeune, Anne-Laure [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Giordano, Jessica [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Remy, Jacques [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Remy, Jacques [Auteur]
Journal title :
Journal of Thoracic Imaging
Abbreviated title :
J Thorac Imaging
Volume number :
35
Pages :
40-48
Publication date :
2020-04-11
ISSN :
1536-0237
English keyword(s) :
chest computed tomography
machine learning
artificial intelligence
chronic obstructive pulmonary disease
pulmonary embolism
pulmonary hypertension
machine learning
artificial intelligence
chronic obstructive pulmonary disease
pulmonary embolism
pulmonary hypertension
HAL domain(s) :
Sciences du Vivant [q-bio]
English abstract : [en]
The radiologic community is rapidly integrating a revolution that has not fully entered daily practice. It necessitates a close collaboration between computer scientists and radiologists to move from concepts to practical ...
Show more >The radiologic community is rapidly integrating a revolution that has not fully entered daily practice. It necessitates a close collaboration between computer scientists and radiologists to move from concepts to practical applications. This article reviews the current littérature on machine learning and deep neural network applications in the field of pulmonary embolism, chronic thromboembolic pulmonary hypertension, aorta, and chronic obstructive pulmonary disease.Show less >
Show more >The radiologic community is rapidly integrating a revolution that has not fully entered daily practice. It necessitates a close collaboration between computer scientists and radiologists to move from concepts to practical applications. This article reviews the current littérature on machine learning and deep neural network applications in the field of pulmonary embolism, chronic thromboembolic pulmonary hypertension, aorta, and chronic obstructive pulmonary disease.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
CHU Lille
CHU Lille
Submission date :
2023-11-15T09:02:58Z
2023-12-19T13:37:13Z
2023-12-19T13:37:13Z