Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions

Author:

Sharma Saurav,Nwoye Chinedu Innocent,Mutter Didier,Padoy Nicolas

Publisher

Springer Nature Switzerland

Reference22 articles.

1. Bawa, V.S., et al.: The saras endoscopic surgeon action detection (ESAD) dataset: challenges and methods. arXiv preprint arXiv:2104.03178 (2021)

2. Chen, K., et al.: MMDetection: open mmlab detection toolbox and benchmark. arXiv preprint arXiv:1906.07155 (2019)

3. Dosovitskiy, A., et al.: An image is worth 16x16 words: transformers for image recognition at scale. In: ICLR (2021)

4. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR, pp. 770–778 (2016)

5. Jin, A., et al.: Tool detection and operative skill assessment in surgical videos using region-based convolutional neural networks. In: WACV, pp. 691–699 (2018)

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1. Optimizing latent graph representations of surgical scenes for unseen domain generalization;International Journal of Computer Assisted Radiology and Surgery;2024-04-28

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