Automatic segmentation and melanoma detection based on color and texture features in dermoscopic images
Abstract
Melanoma is known as the most aggressive form of skin cancer and one of the fastest growing malignant tumors worldwide. Several computer-aided diagnosis systems for melanoma have been proposed, still, the algorithms encounter difficulties in the early stage of lesions. This paper aims to discriminate melanoma and benign skin lesion in dermoscopic images.The proposed algorithm is based on the color and texture of skin lesions by introducing a...
Paper Details
Title
Automatic segmentation and melanoma detection based on color and texture features in dermoscopic images
Published Date
Nov 15, 2021
Journal
Volume
28
Issue
2
Pages
203 - 211
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Notes
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