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• W3015967587 abstract "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." @default.
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• W3015967587 date "2020-04-07" @default.
• W3015967587 modified "2023-10-14" @default.
• W3015967587 title "Machine Learning and Deep Neural Network Applications in the Thorax" @default.
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• W3015967587 doi "https://doi.org/10.1097/rti.0000000000000492" @default.
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