Retraining Convolutional Neural Networks for Specialized Cardiovascular Imaging Tasks: Lessons from Tetralogy of Fallot

Ventricular contouring of cardiac magnetic resonance imaging is the gold standard for volumetric analysis for repaired tetralogy of Fallot (rTOF), but can be time-consuming and subject to variability. A convolutional neural network (CNN) ventricular contouring algorithm was developed to generate con...

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Detalles Bibliográficos
Autores principales: Tandon, Animesh, Mohan, Navina, Jensen, Cory, Burkhardt, Barbara E. U., Gooty, Vasu, Castellanos, Daniel A., McKenzie, Paige L., Zahr, Riad Abou, Bhattaru, Abhijit, Abdulkarim, Mubeena, Amir-Khalili, Alborz, Sojoudi, Alireza, Rodriguez, Stephen M., Dillenbeck, Jeanne, Greil, Gerald F., Hussain, Tarique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7990832/
https://www.ncbi.nlm.nih.gov/pubmed/33394116
http://dx.doi.org/10.1007/s00246-020-02518-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7990832/
https://www.ncbi.nlm.nih.gov/pubmed/33394116
http://dx.doi.org/10.1007/s00246-020-02518-5

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