Unsupervised Mitral Valve Tracking for Disease Detection in Echocardiogram Videos

In this work, a novel algorithmic scheme is developed that processes echocardiogram videos, and tracks the movement of the mitral valve leaflets, and thereby estimates whether the movement is symptomatic of a healthy or diseased heart. This algorithm uses automatic Otsu’s thresholding to find a clos...

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Detalles Bibliográficos
Autores principales: Shahid, Kazi Tanzeem, Schizas, Ioannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321051/
https://www.ncbi.nlm.nih.gov/pubmed/34460750
http://dx.doi.org/10.3390/jimaging6090093

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321051/
https://www.ncbi.nlm.nih.gov/pubmed/34460750
http://dx.doi.org/10.3390/jimaging6090093

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