Real-Time Surgical Tool Detection in Minimally Invasive Surgery Based on Attention-Guided Convolutional Neural Network

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...

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Bibliographic Details
Main Authors: Pan Shi, Zijian Zhao, Sanyuan Hu, Faliang Chang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Attention mechanism
convolutional neural network
light-head module
real-time
surgical tool detection
Online Access:https://ieeexplore.ieee.org/document/9301279/

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