HRNetV2 demonstrated excellent performance, particularly with high-resolution images, offering high sensitivity and precision in bladder lesion detection. The results suggest that HRNetV2 has significant potential to improve detection accuracy in clinical practice. Future work should focus on optimizing the model further and testing it with larger, multicenter datasets.
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Ye et al. (2025) studied this question.
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