Semantic Cardiac Segmentation in Chest CT Images Using K-Means Clustering and the Mathematical Morphology Method

Whole cardiac segmentation in chest CT images is important to identify functional abnormalities that occur in cardiovascular diseases, such as coronary artery disease (CAD) detection. However, manual efforts are time-consuming and labor intensive. Additionally, labeling the ground truth for cardiac...

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Detalles Bibliográficos
Autores principales: Rim, Beanbonyka, Lee, Sungjin, Lee, Ahyoung, Gil, Hyo-Wook, Hong, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8070040/
https://www.ncbi.nlm.nih.gov/pubmed/33920219
http://dx.doi.org/10.3390/s21082675

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8070040/
https://www.ncbi.nlm.nih.gov/pubmed/33920219
http://dx.doi.org/10.3390/s21082675

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