Utilizing Deep Learning to Identify an Ultrasound-guided Nerve Block Target Zone-Reference-Cited by-同舟云学术

Utilizing Deep Learning to Identify an Ultrasound-guided Nerve Block Target Zone

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
language:
Short-container-title:

Author:

Suissa Noam¹,Jeffries Sean D¹,Song Kevin¹,Botros Samer¹,Hemmerling Thomas M²

Affiliation:

1. McGill University,Department of Experimental Surgery,Montreal,Canada

2. McGill University,Dept. of Anesthesiology and Division of Experimental Surgery,Montreal,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340134.pdf?arnumber=10340134

Reference9 articles.

1. Albumentations: Fast and Flexible Image Augmentations

2. Highlighting nerves and blood vessels for ultrasound-guided axillary nerve block procedures using neural networks

3. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

4. Perioperative fellowship curricula in anesthesiology: a systematic review;gharapetian;Canadian Journal of Anaesthesia-Journal Canadien D Anesthesie,2015

5. Ultrasound-guided nerve blocks: efficacy and safety. Best practice & research;warman;Anesthesiology Clinics,2009

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial Intelligence-Supported Ultrasonography in Anesthesiology: Evaluation of a Patient in the Operating Theatre;Journal of Personalized Medicine;2024-03-15

2. Ultrasonographic Applications of Novel Technologies and Artificial Intelligence in Critically Ill Patients;Journal of Personalized Medicine;2024-03-07