Leveraging open dataset and transfer learning for accurate recognition of chronic pulmonary embolism from CT angiogram maximum intensity projection images

BACKGROUND: Early diagnosis of the potentially fatal but curable chronic pulmonary embolism (CPE) is challenging. We have developed and investigated a novel convolutional neural network (CNN) model to recognise CPE from CT pulmonary angiograms (CTPA) based on the general vascular morphology in two-d...

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Detalles Bibliográficos
Autores principales: Vainio, Tuomas, Mäkelä, Teemu, Arkko, Anssi, Savolainen, Sauli, Kangasniemi, Marko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281920/
https://www.ncbi.nlm.nih.gov/pubmed/37340248
http://dx.doi.org/10.1186/s41747-023-00346-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281920/
https://www.ncbi.nlm.nih.gov/pubmed/37340248
http://dx.doi.org/10.1186/s41747-023-00346-9

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