Three Medical Image Segmentation Algorithms
نویسنده
چکیده
We present a study of three model-based approaches to segmentation of medical data acquired by Magnetic Resonance (MR) Tomographs and some experience with their application. The models presented include a Point distribution model, a 2.5D high level symbolic model, and a Statistical model. Properties of the models are discussed and compared. The article is intended for technicians who deal with the segmentation of medical or biomedical data.
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تاریخ انتشار 1997