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Analysis shows high accuracy in classifying surgical sutures using neural networks on limited datasets, indicating potential for automated assessments.
The results of the analysis of the effectiveness of neural networks for automatic classification of the quality of surgical sutures based on photographs are presented. High accuracy (F1-measure > 0.90) was achieved for nodular, vascular, and laparoscopic sutures on small datasets (100-190 images). The technology is promising for an objective assessment of surgical skills.
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Ishchenko et al. (2025) studied this question.
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