Brachial Plexus Nerve Trunk Recognition From Ultrasound Images: A Comparative Study of Deep Learning Models

Author:

Tian Dingcheng1ORCID,Zhu Binbin2ORCID,Wang Jianlin3,Kong Lingsi3,Gao Bin2,Wang Yu4,Xu Dechao1,Zhang Ruyi1,Yao Yudong1ORCID

Affiliation:

1. Research Institute for Medical and Biological Engineering, Ningbo University, Ningbo, China

2. Department of Anesthesiology, The Affiliated Hospital of Medical School, Ningbo University, Ningbo, China

3. Department of Anesthesiology, Ningbo No.6 Hospital, Ningbo, China

4. College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China

Funder

Ningbo University’s Student Research and Innovation Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference54 articles.

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2. ENet: A deep neural network architecture for real-time semantic segmentation;paszke;ArXiv 1606 02147,2016

3. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput -Assist Intervent,2015

4. Pyramid Scene Parsing Network

5. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

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3. A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging;Lecture Notes in Computer Science;2023

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