The DOI matches its Crossref record.
Use of active shape models for locating structures in medical images
Abstract
Abstract This paper describes a technique for building compact models of the shape and appearance of flexible objects (such as organs) seen in 2D images. The models are derived from the statistics of labelled images containing examples of the objects. Each model consists of a flexible shape template, describing how the relevant locations of important points on the objects can vary, and a statistical model of the expected grey levels in a region around each model point. We describe how the models can be used in local image search, and give examples of their application to medical images.
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Cited by
Comparison and evaluation of methods for liver segmentation from CT datasets
Heimann, T., van Ginneken, B., Styner, M. A., Arzhaeva, Y., Aurich, V., Bauer, C., Beck, A., Becker, C., Beichel, R., Bekes, G., et al. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2013851 · Cited by 1,135
Statistical models of appearance for medical image analysis and computer vision:
Cootes, T. F., & Taylor, C. J. (2001) · SPIE Proceedings · doi:10.1117/12.431093 · Cited by 429
Self-citationRoth, H. R., Lu, L., Lay, N., Harrison, A. P., Farag, A., Sohn, A., & Summers, R. M. (2018) · Medical Image Analysis · doi:10.1016/j.media.2018.01.006 · Cited by 325
Metadata
- Authors
- Cootes, T., Hill, A., Taylor, C., & Haslam, J.
- Venue
- Image and Vision Computing
- Publisher
- Elsevier BV
- Published
- 1994-07
- Volume
- 12
- Issue
- 6
- Pages
- 355-365
- ISSN
- 0262-8856 (ISSN-L)
- OpenAlex
- W2722851397
- Cited by
- 910
- References
- 0
- FWCI
- 36.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Use of active shape models for locating structures in medical images. https://app.cochat.ai/papers/10.1016/0262-8856(94)90060-4
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- Cootes, T., Hill, A., Taylor, C., & Haslam, J. (1994). Use of active shape models for locating structures in medical images. Image and Vision Computing. https://doi.org/10.1016/0262-8856(94)90060-4
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
