الفهرس 
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Abstract
Since the U-Net architecture demonstrates outstanding performance in the
field of medical image segmentation, it is considered the basis of many proposed
works in skin lesion segmentation. Despite the popularity of U-Net,
the existence of a single encoder in the U-Net structure whose function is to
jointly extract local features and global context information does not handle
the large variations of skin lesion. In addition, borderline pixels are hard to
classify because it contains some pixels that belong to the lesion and other
pixels that belong to the background region. Therefore, accurately classifying
the pixels of this borderline is a difficult task because it contains pixels
of both types.