An automated segmentation of coronary artery calcification using deep learning in specific region limitation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11517-023-02797-z.pdf
Reference38 articles.
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5. Gupta V, Demirer M, Bigelow M, Little KJ, Candemir S, Prevedello LM, White RD, O’Donnell TP, Wels M, Erdal BS (2020) Performance of a deep neural network algorithm based on a small medical image dataset: incremental impact of 3D-to-2D reformation combined with novel data augmentation, photometric conversion, or transfer learning. J Digit Imaging 33(2):431–438
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1. Integrated deep learning approach for automatic coronary artery segmentation and classification on computed tomographic coronary angiography;Network Modeling Analysis in Health Informatics and Bioinformatics;2024-08-01
2. Automatic Segmentation and Quantification of Abdominal Aortic Calcification in Lateral Lumbar Radiographs Based on Deep-Learning-Based Algorithms;Bioengineering;2023-10-05
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