Cardiac-DeepIED: Automatic Pixel-Level Deep Segmentation for Cardiac Bi-Ventricle Using Improved End-to-End Encoder-Decoder Network

Accurate segmentation of cardiac bi-ventricle (CBV) from magnetic resonance (MR) images has a great significance to analyze and evaluate the function of the cardiovascular system. However, the complex structure of CBV image makes fully automatic segmentation as a well-known challenge. In this paper,...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6442749/
https://www.ncbi.nlm.nih.gov/pubmed/30949419
http://dx.doi.org/10.1109/JTEHM.2019.2900628

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6442749/
https://www.ncbi.nlm.nih.gov/pubmed/30949419
http://dx.doi.org/10.1109/JTEHM.2019.2900628

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