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Optimal quantitative metrics reflecting surgeons' qualitative evaluation in deep learning-based intraoperative

Masahiro Fuse1,2,3, Daichi Kitaguchi1,2,4, Norihito Kosugi1

  • 1Department for the Promotion of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.

BMC Surgery
|April 29, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Deep learningIntraoperative navigationSemanticsSurgical metricsUreter segmentation

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