Dual-source computed tomography image information under deep learning algorithm in evaluation of coronary artery lesion in children with Kawasaki disease-Reference-Cited by-同舟云学术

Dual-source computed tomography image information under deep learning algorithm in evaluation of coronary artery lesion in children with Kawasaki disease

Published:2021-10-04 Issue: Volume: Page:
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Luo Pan,Li Jinling

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-021-04077-9.pdf

Reference20 articles.

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2. Kourtidou S, Slee AE, Bruce ME, Wren H, Mangione-Smith RM, Portman MA (2018) Kawasaki disease substantially impacts health-related quality of life. J Pediatr 193:155-163.e5. https://doi.org/10.1016/j.jpeds.2017.09.070

3. Dusad S, Singhal M, Pilania RK, Suri D, Singh S (2020) CT coronary angiography studies after a mean follow-up of 3.8 years in children with Kawasaki disease and spontaneous defervescence. Front Pediatr 8:274. https://doi.org/10.3389/fped.2020.00274

4. Kantarcı M, Güven E, Ceviz N, Oğul H, Sade R (2019) Vascular imaging findings with high-pitch low-dose dual-source CT in atypical Kawasaki disease. Diagn Interv Radiol 25(1):50–54. https://doi.org/10.5152/dir.2018.18092

5. Chakraborty R, Singhal M, Pandiarajan V, Sharma A, Pilania RK, Singh S (2021) Coronary arterial abnormalities detected in children over 10 years following initial Kawasaki disease using cardiac computed tomography. Cardiol Young 28:1–5. https://doi.org/10.1017/S1047951121000020

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