Identification of the left ventricle endocardial border on two-dimensional ultrasound images using deep layer aggregation for residual dense networks
Author:
Funder
Chongqing Municipal Education Commission Foundation
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03392-9.pdf
Reference37 articles.
1. D’Andrea A et al (2020) New ultrasound technologies for ischemic heart disease assessment and monitoring in cardiac rehabilitation. J Clin Med 9(10):3131
2. Seo J, and Kim Y-S (2017) "Ultrasound imaging and beyond: recent advances in medical ultrasound. "Biomed Eng Lett 7.2: 57–58
3. Jang J et al (2015) A reconstruction method of blood flow velocity in left ventricle using color flow ultrasound. Comput Math Methods Med 2015:1–15
4. Wu S et al. (2017) Automatic segmentation of ultrasound tomography image. BioMed Res Int 2017
5. Zyuzin Vas et al. (2018) "Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet." Ural Symposium Biomed Eng, RadioelectronicsInform Technol (USBEREIT). IEEE, 2018
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