Abstract
Two-view breast screening using cranio-caudal (CC) and medio-lateral oblique (MLO) mammograms has been shown to detect more cancers and lead to less women being recalled to assessment [11], [12] than one-view screening. However, matching signs between two views of the same breast can be a difficult task due to the changing geometry and, crucially, the effects of breast compression. If it were only the geometry that were changing the matching problem would reduce to being one of wide-angle stereo [1]. In this paper we develop a model-based method for finding a curve in the medio-lateral oblique mammogram which corresponds to the potential positions of a point marked in the cranio-caudal mammogram. A more mathematical version of this paper is in [7]. Related work on this problem [10], [9] does not explicitly consider compression. However, work on analysis of stomach x-rays [6] has shown the possibilities of modelling 3D deformations using a model-based approach.
Keywords
- Transepithelial Potential Difference
- Luminal Perfusion
- Transepithelial Voltage
- NaCI Reabsorption
- Luminal Flow
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 1998 Springer Science+Business Media Dordrecht
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Highnam, R., Kita, Y., Brady, M., Shepstone, B., English, R. (1998). Determining Correspondence Between Views. In: Karssemeijer, N., Thijssen, M., Hendriks, J., van Erning, L. (eds) Digital Mammography. Computational Imaging and Vision, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5318-8_18
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DOI: https://doi.org/10.1007/978-94-011-5318-8_18
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