Enhanced Cuckoo Search Optimization Technique for Skin Cancer Diagnosis Application

Skin cancer segmentation is a critical task in clinical decision support system for skin detection. The suggested enhanced cuckoo search based optimization model will be used to evaluate several metrics the picture process. Because time and resources are always limited, proposed algorithm one of most effective strategies dealing with global difficulties. One significant requirements design optimal solutions optimize their use. There no particular technique that can answer all issues. method indicates constructive precision over image computerized diagnosis. accuracy melanoma has increased 23% 29% improvement than other algorithm. total sensitivity specificity attained 99.56% 99.73% respectively. outperforms by offering 99.26% comparisons conventional methods. achieved 98.75%, 98.96% Dice Jaccard coefficient. trained using measure those data.