Deep learning-based methods for defect detection from ultrasound images
Ultrasonic testing is a non-destructive evaluation (NDE) technique that is used to inspect the integrity of the material and check if there are any defects in its internal structure. The acquisition of ultrasonic data is already done in an automated fashion using robotic manipulators, but the analys...
| Permalink: | http://skupni.nsk.hr/Record/fer.KOHA-OAI-FER:52940/Similar |
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| Glavni autor: | Medak, Duje (-) |
| Ostali autori: | Lončarić, Sven (Thesis advisor) |
| Vrsta građe: | Knjiga |
| Jezik: | eng |
| Impresum: |
Zagreb :
D. Medak ; Faculty of electrical engineering and computing,
2022.
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APA stil citiranja
Medak, D., & Lončarić, S. (2022). Deep learning-based methods for defect detection from ultrasound images: Deep learning-based methods for defect detection from ultrasound images : doctoral thesis. Zagreb: D. Medak ; Faculty of electrical engineering and computing.
Chicago stil citiranjaMedak, Duje, and Sven Lončarić. Deep learning-based methods for defect detection from ultrasound images: Deep learning-based methods for defect detection from ultrasound images : doctoral thesis. Zagreb: D. Medak ; Faculty of electrical engineering and computing, 2022.
MLA stil citiranjaMedak, Duje, and Sven Lončarić. Deep learning-based methods for defect detection from ultrasound images: Deep learning-based methods for defect detection from ultrasound images : doctoral thesis. Zagreb: D. Medak ; Faculty of electrical engineering and computing, 2022.