Performance of a 3D convolutional neural network in the detection of hypoperfusion at CT pulmonary angiography in patients with chronic pulmonary embolism: a feasibility study

BACKGROUND: Chronic pulmonary embolism (CPE) is a life-threatening disease easily misdiagnosed on computed tomography. We investigated a three-dimensional convolutional neural network (CNN) algorithm for detecting hypoperfusion in CPE from computed tomography pulmonary angiography (CTPA). METHODS: P...

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Detalles Bibliográficos
Autores principales: Vainio, Tuomas, Mäkelä, Teemu, Savolainen, Sauli, Kangasniemi, Marko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460693/
https://www.ncbi.nlm.nih.gov/pubmed/34557979
http://dx.doi.org/10.1186/s41747-021-00235-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460693/
https://www.ncbi.nlm.nih.gov/pubmed/34557979
http://dx.doi.org/10.1186/s41747-021-00235-z

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