Probabilistic Shape Analysis for Medical Image Segmentation
نویسنده
چکیده
Motivation: Segmentation is a fundamental problem in medical image understanding. Most of the further analysis relies on the results of the segmentation procedure. Unfortunately, standard image processing techniques fail to deliver satisfying results for most medical applications. Many types of tissues have similar magnetic characteristics, and therefore have overlapping intensity ranges in the resulting images. Intensity variations between different scans and presence of a bias field complicate the problem even further. Shape description can provide spatial information that will allow to distinguish anatomical structures based on their location and shape.
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