Automatic Left Ventricle Segmentation from Short-Axis Cardiac MRI Images Based on Fully Convolutional Neural Network

Background: Left ventricle (LV) segmentation using a cardiac magnetic resonance imaging (MRI) dataset is critical for evaluating global and regional cardiac functions and diagnosing cardiovascular diseases. LV clinical metrics such as LV volume, LV mass and ejection fraction (EF) are frequently extr...

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Detalles Bibliográficos
Autores principales: Shaaf, Zakarya Farea, Jamil, Muhammad Mahadi Abdul, Ambar, Radzi, Alattab, Ahmed Abdu, Yahya, Anwar Ali, Asiri, Yousef
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871002/
https://www.ncbi.nlm.nih.gov/pubmed/35204504
http://dx.doi.org/10.3390/diagnostics12020414

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871002/
https://www.ncbi.nlm.nih.gov/pubmed/35204504
http://dx.doi.org/10.3390/diagnostics12020414

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