Selecting cardiac magnetic resonance images suitable for annotation of pulmonary arteries using an active-learning based deep learning model

An increasing and aging patient population poses a growing burden on healthcare professionals. Automation of medical imaging diagnostics holds promise for enhancing patient care and reducing manpower required to accommodate an increasing patient-population. Deep learning, a subset of machine learnin...

Descripción completa

Detalles Bibliográficos
Autores principales: van der Veen, Werner, Benjamins, Jan-Walter, Yeung, Ming Wai, van der Harst, Pim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10509220/
https://www.ncbi.nlm.nih.gov/pubmed/37726318
http://dx.doi.org/10.1038/s41598-023-41228-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10509220/
https://www.ncbi.nlm.nih.gov/pubmed/37726318
http://dx.doi.org/10.1038/s41598-023-41228-9

Ejemplares similares