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Liver segmentation is a prerequisite for liver cancer CAD, and the result of it affects the accuracy rate of feature extraction and recognition of liver cancer directly. Euclidean distance transformation is one of the main methods in medical image segmentation. However, simply using Euclidean distance transformation will lead to some problems, such as over-segmentation and excessively high cost of...
In this paper we present an efficient data-driven tissue deformation model. The work originates in process automation within the pig meat processing industry. In the development of tools for automating accurate cuts, knowledge on tissue deformation is of great value. The model is built from empirical data; 10 pig carcasses are subjected to deformation from a controlled source imitating the cutting...
Optical Coherence Tomography (OCT) is a well known technique for creating non-invasive, high resolution images of biological microstructure. OCT has matured into animportant imaging modality since its invention in 1991. The popularity of the method lies in the numerous advantages that it offers high detection sensitivity allowing fast imaging speed, andhigh spatial resolution. In this paper we propose...
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