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Ultrasound image segmentation: a survey

IEEE Transactions on Medical Imaging · 2006 · Vol. 25(8) · pp. 987–1010
J. Alison NobleDjamal Boukerroui

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
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