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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: A deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images

Fig. 1

Illustration of the steps involved in the identification of all coronary artery segments. (A) Obtaining the CCTA image set; (B) Extracting the 3D volume of the coronary arteries; (C) Extracting the centerlines of the coronary arteries; (D) Extracting the myocardium structure and 3D volume data based on a 3D-U-Net-based deep learning model; (E) Labeling and segmenting the centerlines of the LM, RCA, LAD, and LCx with the spatial structure rule or distance transformation method; (F) Assembling the results and visualizations for diagnosis

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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