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

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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Bibliographic Details
Main Authors: Beanbonyka Rim, Sungjin Lee, Ahyoung Lee, Hyo-Wook Gil, Min Hong
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
whole cardiac segmentation
chest CT scans
image processing
K-Means clustering
silhouette score
mathematical morphology method
Online Access:https://www.mdpi.com/1424-8220/21/8/2675

Internet

https://www.mdpi.com/1424-8220/21/8/2675

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