Determination of the location of the needle entry point based on an improved pruning algorithm

DOI10.3934/MBE.2022372OpenAlexW4284971943MaRDI QIDQ2688393

Dexin Yu, Zhenfang Zhu, Fengyv Zhou, GuangYuan Zhang, Xiao Nan Gao

Publication date: 3 March 2023

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2022372

zbMATH Keywords

image processinglocation decisionautomatic injectiondorsal hand veinneedle entry point

Mathematics Subject Classification ID

Automated systems (robots, etc.) in control theory (93C85) Medical applications (general) (92C50)

Uses Software

• U-Net

Cites Work

• Three-dimensional image reconstruction based on improved U-net network for anatomy of pulmonary segmentectomy
• Retinal blood vessel segmentation based on densely connected U-net
• Second-order ResU-Net for automatic MRI brain tumor segmentation

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