Real-Time Surgical Tool Detection in Minimally Invasive Surgery Based on Attention-Guided Convolutional Neural Network
To enhance surgeons' efficiency and safety of patients, minimally invasive surgery (MIS) is widely used in a variety of clinical surgeries. Real-time surgical tool detection plays an important role in MIS. However, most methods of surgical tool detection may not achieve a good trade-off between...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9301279/ |