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Automated detection of pulmonary embolism from CT-angiograms using deep learning

BACKGROUND: The aim of this study was to develop and evaluate a deep neural network model in the automated detection of pulmonary embolism (PE) from computed tomography pulmonary angiograms (CTPAs) using only weakly labelled training data. METHODS: We developed a deep neural network model consisting...

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Detalles Bibliográficos
Autores principales:	Huhtanen, Heidi, Nyman, Mikko, Mohsen, Tarek, Virkki, Arho, Karlsson, Antti, Hirvonen, Jussi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919639/ https://www.ncbi.nlm.nih.gov/pubmed/35282821 http://dx.doi.org/10.1186/s12880-022-00763-z

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