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Background: Automated carotid intima-media thickness (cIMT) measurement from B-mode ultrasound is important for cardiovascular risk stratification. Direct comparisons of deep learning architectures on the same cohort under controlled conditions remain limited. This study aimed to compare the accuracy and computational cost of three deep learning architectures with the commercial AtheroEdge™ 2.0 (AE 2.0) system for carotid ultrasound analysis.
1 Introduction Land Use Land Cover (LULC) is the surface features of an area and the humans or natural processes that are a part of its use. Land cover refers to the actual material that makes up the Earth's surface, like water, vegetation, and developed surfaces, and land use refers to the way people use a specific area of land, including domestic, industrial, or agricultural use (MohanRajan et al. 2020; Vohra and Kumar 2024).
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