Work

Intelligent Computer Vision for Braided Medical Implant Evaluation

Year: 2025

Type: article

Abstract: This work presents a computer vision framework for automated evaluation of braided medical implants. It extracts key geometric features such as braiding angle, pore size, and strand spacing, detecting subtle structural deviations that are difficult to see manually. The system provides reproducible, high-throughput quality assessment suitable for both laboratory and industrial use.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17867657

Authors: Cai, Linsen, Tselekoglou, Ioannis, Dyagilev, Andrey, Gries, Thomas

Institution: RWTH Aachen University

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7110852272

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