Improving the Generalizability of Convolutional Neural Network-Based Segmentation on CMR Images

Background: Convolutional neural network (CNN) based segmentation methods provide an efficient and automated way for clinicians to assess the structure and function of the heart in cardiac MR images. While CNNs can generally perform the segmentation tasks with high accuracy when training and test im...

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Detalles Bibliográficos
Autores principales: Chen, Chen, Bai, Wenjia, Davies, Rhodri H., Bhuva, Anish N., Manisty, Charlotte H., Augusto, Joao B., Moon, James C, Aung, Nay, Lee, Aaron M., Sanghvi, Mihir M., Fung, Kenneth, Paiva, Jose Miguel, Petersen, Steffen E., Lukaschuk, Elena, Piechnik, Stefan K., Neubauer, Stefan, Rueckert, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344224/
https://www.ncbi.nlm.nih.gov/pubmed/32714943
http://dx.doi.org/10.3389/fcvm.2020.00105

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344224/
https://www.ncbi.nlm.nih.gov/pubmed/32714943
http://dx.doi.org/10.3389/fcvm.2020.00105

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