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Two different semi-automated segmentation methods were tested and compared.
Yet, Westin's segmentation methods cannot establish that users are pragmatic in theory or in practice.
The method is compared to two segmentation methods and is evaluated by a conventional one.
Various segmentation methods were tested and extended maxima transform gave the best result.
Current segmentation methods use either (1) topologic or (2) geometric criteria to partition the mesh.
This article provides a survey of segmentation methods for medical images.
Dealing with such data is a challenging task and requires robust and accurate segmentation methods.
Therefore, we use multiple segmentation methods.
Nine automatic PET segmentation methods were studied.
The segmentation methods were grouped into categories.
AT and KM2 segmentation methods developed identical prognostic models.
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