OSFENet: Object Spatiotemporal Feature Enhanced Network for Surgical Phase Recognition
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5615-5_19
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4. Demir, K.C., et al.: Deep learning in surgical workflow analysis: a review of phase and step recognition. IEEE J. Biomed. Health Inform. 27, 5405–5417 (2023)
5. Yi, F., Jiang, T.: Hard Frame Detection and Online Mapping for Surgical Phase Recognition. In: Shen, D., et al. (eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, pp. 449–457. Springer International Publishing, Cham (2019)
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