Abstract
Skin lesion segmentation helps in the early analysis of skin ailments and injuries such as skinlesionshape and border irregularity. It also provides a correct diagnosis of different skin-related diseases, such as skin cancer, by using a computerized system. The automatic segmentation of skin lesions in dermoscopic images is considered to be a difficult task as it faces issues related to artifacts in the stink boundaries, different sizes, low contrast, and varied shape of images. The main purpose of this paper is to provide an effective SEGCAP algorithm for segmentation of skin lesion. The research outcomes were obtained by analyzing the collected facts with Jaccard coefficient, Dice Similarity Coefficient, accuracy, sensitivity, and specificity. It outperformed all existing methods.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
