Correlated Regression Feature Learning for Automated Right Ventricle Segmentation

Accurate segmentation of right ventricle (RV) from cardiac magnetic resonance (MR) images can help a doctor to robustly quantify the clinical indices including ejection fraction. In this paper, we develop one regression convolutional neural network (RegressionCNN) which combines a holistic regressio...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061487/
https://www.ncbi.nlm.nih.gov/pubmed/30057864
http://dx.doi.org/10.1109/JTEHM.2018.2804947

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061487/
https://www.ncbi.nlm.nih.gov/pubmed/30057864
http://dx.doi.org/10.1109/JTEHM.2018.2804947

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