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Computer Assisted Surgery Volume 25, 2020 - Issue 1

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Review

Image-based laparoscopic tool detection and tracking using convolutional neural networks: a review of the literature

Congmin Yanga School of Control Science and Engineering, Shandong University, Jinan, ChinaView further author information

Zijian Zhaoa School of Control Science and Engineering, Shandong University, Jinan, ChinaCorrespondence[email protected]
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Sanyuan Hub Department of General surgery, First Affiliated Hospital of Shandong First Medical University, Jinan, ChinaView further author information

Pages 15-28 | Published online: 04 Sep 2020

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https://doi.org/10.1080/24699322.2020.1801842
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Guanzhi Ding, Xiushun Zhao, Cai Peng, Li Li, Jing Guo, Depei Li & Xiaobing Jiang. (2023) Anchor-Free Feature Aggregation Network for Instrument Detection in Endoscopic Surgery. IEEE Access 11, pages 29464-29473.
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Image-based laparoscopic tool detection and tracking using convolutional neural networks: a review of the literature

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Image-based laparoscopic tool detection and tracking using convolutional neural networks: a review of the literature

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