Automatic classification of minimally invasive instruments based on endoscopic image sequences

Author:

Speidel Stefanie,Benzko Julia,Krappe Sebastian,Sudra Gunther,Azad Pedram,Müller-Stich Beat Peter,Gutt Carsten,Dillmann Rüdiger

Publisher

SPIE

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep learning-based classification and segmentation for scalpels;International Journal of Computer Assisted Radiology and Surgery;2023-01-05

2. A semi-supervised Teacher-Student framework for surgical tool detection and localization;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2022-12-05

3. Automated instrument-tracking for 4D video-rate imaging of ophthalmic surgical maneuvers;Biomedical Optics Express;2022-02-15

4. Deep Attention Based Semi-supervised 2D-Pose Estimation for Surgical Instruments;Pattern Recognition. ICPR International Workshops and Challenges;2021

5. Multi-level feature aggregation network for instrument identification of endoscopic images;Physics in Medicine & Biology;2020-08-31

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