An adaptively weighted ensemble of multiple CNNs for carotid ultrasound image segmentation
Carotid atherosclerotic plaques cause stroke when plaques rupture and clog the blood vessels that deliver blood to brain. Ultrasound measurements (i.e. total-plaque-area and intima-media-thickness) are mainly used to monitor the progression and regression of plaques. Recently, deep learning has prov...
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Published in | Biomedical signal processing and control Vol. 83; p. 104673 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.05.2023
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Subjects | |
Online Access | Get full text |
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