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23 May 2023 The neural networks-based needle detection for medical retinal surgery
Jidong Xu, Jinglun Yu, Jianing Yao, Rendong Zhang
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Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126042M (2023) https://doi.org/10.1117/12.2674572
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China
Abstract
In recent years, deep learning technology has developed rapidly, and the application of deep neural networks in the medical image processing field has become the focus of the spotlight. This paper aims to achieve needle position detection in medical retinal surgery by adopting the target detection algorithm based on YOLOv5 as the basic deep neural network model. The state-of-the-art needle detection approaches for medical surgery mainly focus on needle structure segmentation. Instead of the needle segmentation, the proposed method in this paper contains the angle examination during the needle detection process. This approach also adopts a novel classification method based on the different positions of the needle to improve the model. The experiments demonstrate that the proposed network can accurately detect the needle position and measure the needle angle. The performance test of the proposed method achieves 4.80 for the average Euclidean distance between the detected tip position and the actual tip position. It also obtains an average error of 0.85 degrees for the tip angle across all test sets.
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Jidong Xu, Jinglun Yu, Jianing Yao, and Rendong Zhang "The neural networks-based needle detection for medical retinal surgery", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126042M (23 May 2023); https://doi.org/10.1117/12.2674572
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KEYWORDS
Object detection
Neural networks
Retinal surgery
Surgery
Detection and tracking algorithms
Retina
Image processing
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