Daniel J. Withey

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Automatic medical image segmentation is an unsolved problem that has captured the attention of many researchers. The purpose of this survey is to identify a representative set of methods that have been used for automatic medical image segmentation over the past 35 years and to provide an opportunity to view the transitions that have occurred as this(More)
Methods for segmentation of medical images are divided into three generations, where each generation adds an additional level of algorithmic complexity. The first generation is composed of the simplest forms of image analysis such as the use of intensity thresholds and region growing. The second generation is characterized by the application of uncertainty(More)
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