Machine Learning and Deep Neural Network Applications in the Thorax: Pulmonary Embolism, Chronic Thromboembolic Pulmonary Hypertension, Aorta, and Chronic Obstructive Pulmonary Disease. - Université de Lille Accéder directement au contenu
Article Dans Une Revue Journal of Thoracic Imaging Année : 2020

Machine Learning and Deep Neural Network Applications in the Thorax: Pulmonary Embolism, Chronic Thromboembolic Pulmonary Hypertension, Aorta, and Chronic Obstructive Pulmonary Disease.

Résumé

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.
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Dates et versions

hal-04353527 , version 1 (19-12-2023)

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Martine Remy, Jean-Baptiste Faivre, Rainer Kaergel, Antoine Hutt, Paul Felloni, et al.. Machine Learning and Deep Neural Network Applications in the Thorax: Pulmonary Embolism, Chronic Thromboembolic Pulmonary Hypertension, Aorta, and Chronic Obstructive Pulmonary Disease.. Journal of Thoracic Imaging, 2020, Journal of Thoracic Imaging, 35, pp.40-48. ⟨10.1097/RTI.0000000000000492⟩. ⟨hal-04353527⟩

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