review Open AccessTop 1% cited
Ultrasound image segmentation: a survey
IEEE Transactions on Medical Imaging · 2006 · Vol. 25(8) · pp. 987–1010
J. Alison Noble✉(Science Oxford)Djamal Boukerroui(Université de Technologie de Compiègne)
Abstract
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.
Ultrasound Imaging and ElastographyMedical Image Segmentation TechniquesAI in cancer detectionSegmentationUltrasoundComputer scienceArtificial intelligenceImage segmentationMedical ultrasoundComputer visionMedical imagingUltrasound imagingMedical physics
MeSH terms
AlgorithmsArtificial IntelligenceImage EnhancementImage Interpretation, Computer-AssistedPattern Recognition, AutomatedUltrasonographyCluster AnalysisInformation Storage and RetrievalImaging, Three-Dimensional
Citations
1,114
FWCI
30.38
field-weighted impact
References
268
Percentile
100%
vs. same field & year
Citations per year
Cited by
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References
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Simultaneous Truth and Performance Level Estimation (STAPLE): An Algorithm for the Validation of Image Segmentation
IEEE Transactions on Medical Imaging · 2004 · 2,040 citations
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