NeDSeM: Neutrosophy Domain-Based Segmentation Method for Malignant Melanoma Images.

ABSTRACT: Skin lesion segmentation is the first and indispensable step of malignant melanoma recognition and diagnosis. At present, most of the existing skin lesions segmentation techniques often used traditional methods like optimum thresholding, etc., and deep learning methods like U-net, etc. However, the edges of skin lesions in malignant melanoma images are gradually changed in color, and this change is nonlinear. The existing methods can not effectively distinguish banded edges between lesion areas and healthy skin areas well. Aiming at the uncertainty and fuzziness of banded edges, the neutrosophic set theory is used in this paper which is better than fuzzy theory to deal with banded edge segmentation. Therefore, we proposed a neutrosophy domain-based segmentation method that contains six ste

SUBMITTER: Bian X 

PROVIDER: S-EPMC9222744 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature