Ultrasound image segmentation: a survey
Open accessAbstract
This paper reviews ultrasound segmentation paper methods, in a broad sense, focusing on techniques developed for medical B-mode ultrasound images. First, we present a review of articles by clinical application to highlight the approaches that have been investigated and degree of validation that has been done in different clinical domains. Then, we present a classification of methodology in terms of use of prior information. We conclude by selecting ten papers which have presented original ideas that have demonstrated particular clinical usefulness or potential specific to the ultrasound segmentation problem.
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Ultrasound is the most commonly used medical imaging modality for diagnosis and screening in clinical practice.
“Ultrasound is the most commonly used medical imaging modality for diagnosis and screening in clinical practice [18].”
From Deep Learning Strategies for Ultrasound in Pregnancy (2020) · cites this paper as [18]
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Deep Learning in Medical Ultrasound Analysis: A Review
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Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step
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- Authors
- Noble, J. A., & Boukerroui, D.
- Affiliations
- University of Oxford (GB)
- ORCID
- Noble, J.A.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 2006-08
- Volume
- 25
- Issue
- 8
- Pages
- 987-1010
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2119249988
- Cited by
- 1,157
- References
- 256
- Citations by year
- 2026: 45 · 2025: 49 · 2024: 40 · 2023: 38 · 2022: 62 · 2021: 45 · 2020: 61 · 2019: 60 · 2018: 49 · 2017: 63 · 2016: 75 · 2015: 68 · 2014: 87 · 2013: 92 · 2012: 80
- FWCI
- 6.28
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Locations
- IEEE Transactions on Medical Imaging (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Ultrasound in Clinical Applications
- Physical Sciences › Engineering › Biomedical Engineering › Medical Imaging and Analysis
- Keywords
- ultrasound image segmentation, B-mode ultrasound, medical image segmentation, prior information, clinical application
- MeSH terms
- Algorithms, Artificial Intelligence, Image Enhancement, Image Interpretation, Computer-Assisted, Pattern Recognition, Automated, Ultrasonography, Cluster Analysis, Information Storage and Retrieval, Imaging, Three-Dimensional
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