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3-D Bayesian ultrasound breast image segmentation using the EM/MPM algorithm | IEEE Conference Publication | IEEE Xplore

3-D Bayesian ultrasound breast image segmentation using the EM/MPM algorithm


Abstract:

In this paper, ultrasound breast image segmentation is improved by using the volumetric data available in neighboring slices. The new algorithm extends the EM/MPM framewo...Show More

Abstract:

In this paper, ultrasound breast image segmentation is improved by using the volumetric data available in neighboring slices. The new algorithm extends the EM/MPM framework to 3D by including pixels from neighboring frames in the Markov Random Field (MRF) clique. In addition, this paper describes a unique linear cost factor introduced in the optimization loop to compensate for the attenuation common to ultrasound images.
Date of Conference: 07-10 July 2002
Date Added to IEEE Xplore: 07 November 2002
Print ISBN:0-7803-7584-X
Conference Location: Washington, DC, USA

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