Deep learning approach for automatic out‐of‐plane needle localisation for semi‐automatic ultrasound probe calibration-Reference-Cited by-同舟云学术

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Deep learning approach for automatic out‐of‐plane needle localisation for semi‐automatic ultrasound probe calibration

Published:2019-12 Issue:6 Volume:6 Page:204-209
ISSN:2053-3713
Container-title:Healthcare Technology Letters
language:en
Short-container-title:Healthcare Technology Letters

Author:

Groves Leah A.¹²^ORCID,VanBerlo Blake³,Peters Terry M.¹²⁴,Chen Elvis C.S.¹²⁴

Affiliation:

1. School of Biomedical Engineering University of Western Ontario London Ontario Canada

2. Robarts Research Institute University of Western Ontario London Ontario Canada

3. Schulich School of Medicine University of Western Ontario London Ontario Canada

4. Medical Biophysics University of Western Ontario London Ontario Canada

Publisher

Institution of Engineering and Technology (IET)

Subject

Health Information Management,Health Informatics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/htl.2019.0075

Reference15 articles.

1. Ultrasonic image analysis and image-guided interventions

2. Mixed and Augmented Reality in Medicine

3. Freehand 3D Ultrasound Calibration: A Review

4. A review of calibration techniques for freehand 3-D ultrasound systems

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1. Machine Learning Detects a Biopsy Needle in Ultrasound Images;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

2. Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction;Medical Image Analysis;2023-08

3. Needle Tip Tracking During CT-guided Interventions using Fuzzy Segmentation;Informatik aktuell;2023

4. Unified Calibration Technique for Augmented-Reality Ultrasound-Guided Interventions;2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE);2022-10-26

5. Unbiased Validation of the Algorithms for Automatic Needle Localization in Ultrasound-Guided Breast Biopsies;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16

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