Introduction of an Algorithm Based on Convolutional Neural Networks for an Automated Online Correction of Braided Cardiovascular Implants-Reference-Cited by-同舟云学术

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Introduction of an Algorithm Based on Convolutional Neural Networks for an Automated Online Correction of Braided Cardiovascular Implants

Published:2021 Issue: Volume: Page:28-36
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Haas Benedikt,Stang Marco,Khan-Blouki Valentin,Sax Eric

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-74009-2_4

Reference10 articles.

1. Statistisches Bundesamt (Destatis). https://www.destatis.de/DE/Themen/Gesellschaft-Umwelt/Gesundheit/Krankheitskosten/_inhalt.html#sprg234880

2. Toor, S., Sazonov, I., Luckraz, H., Nithiarasu, P.: Aortic aneurysms: OSR, EVAR, stent-grafts, migration and endoleak—current state of the art and analysis. In Franz, T. (eds.) Cardiovascular and Cardiac Therapeutic Devices, pp. 63–92. Springer, Heidelberg (2013)

3. Bermudez, C., Laguarta, F., Cadevall, C., Matilla, A., Ibañez, S., Artigas, R.: Automated stent defect detection and classification with a high numerical aperture optical system. In: Automated Visual Inspection and Machine Vision II, vol. 10334, p. 103340C. International Society for Optics and Photonics (2017)

4. Kim, J.H., Kang, T.J., Yu, W.R.: Mechanical modeling of self-expandable stent fabricated using braiding technology. J. Biomech. 41(15), 3202–3212 (2008)

5. Bermudez, C., Laguarta, F., Cadevall, C., Matilla, A., Ibanez, S., Artigas, R.: Automated stent defect detection and classification with a high numerical aperture optical system. In: León, F., Beyerer, J. (eds.) Automated Visual Inspection and Machine Vision II, p. 103340C (2017)

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1. Pitch length measurement of stents using dynamically cropped images;2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2022-11-16

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