Fuzzy Segmentation of Masses in Digital Breast Tomosynthesis Images based on Dynamic Programming
نویسندگان
چکیده
In this paper we propose a new fuzzy segmentation method to segment lesions in Digital Breast Tomosynthesis (DBT) datasets. In the proposed approach we model a contour as a path in the image. The optimal contour is defined as the path associated with a minimal cost, which is derived from the image content. Using this formalism we present several ways to alter this cost in order to extract several relevant contours from a single image. The set of contours is then used in the fuzzy contour framework to perform mass detection. The method has been tested on synthetic data as well as images containing lesions and provides promising results.
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