  Automatic diagnosis of malignant melanoma highly depends on the segmentation
methods used for the suspicious lesion. We suggest the parameter selection
method (PSM) and maximum area method (MAM) for the segmentation of the lesion
to be diagnosed. Herein, these segmentation methods are compared to a skin
cancer expert's segmentation and three other conventional algorithms. The
diagnosis of malignant melanoma based on the two suggested, three conventional,
and expert's segmentation are compared with respect to sensitivity,
specificity, and accuracy.
