Evaluating the generalizability of an automated coronary artery calcium segmentation and scoring algorithm using multi-vendor dataset

Evaluating the generalizability of an automated coronary artery calcium segmentation and scoring algorithm using multi-vendor dataset

Abstract Coronary artery calcification score (CACS), also known as the Agatston score, is a significant prognostic tool for cardiovascular disease (CVD) that utilizes computed tomography (CT). We expand our previously proposed algorithm, Residual-block Inspired Coordinate Attention U-Net (RICAU-Net)...

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Main Authors: Doyoung Park, Jedidiah Ng, Yixin Zhong, Chun Sheng Alvin Tan, Xiaomeng Wang, Gillianne Geet Yi Lai, Liang Zhong, Su Kai Gideon Ooi, Daniel Shao Weng Tan, Lohendran Baskaran
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-05785-5
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https://doi.org/10.1038/s41598-025-05785-5

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