Abstract
#Melanoma skin cancer has been one of the quickest uprisings of
totally #cancers, which has a high hazard of prevalence. This deadliest
form of melanoma must be detected premature for effective handling. In
this work, a technique was used to aid the premature detection of skin
cancer lesions. For the segmentation to be considered correct using the
Artificial Bee Colony (ABC) method, the result obtained was compared
with the segmentation of the #dermatologist. This method is applied on
#dermoscopy images were obtained of the PH2 database. The algorithm is
one of the foremost widespread techniques to obtain infinite chances to
solve the ABC rule that provides accurate results in the quickest
possible time. The artificial bee colony algorithm recognizes whether
moles are melanoma or not and at any stage of danger also the results
are compared with the results from the existing algorithm of melanoma
detection; it achieved good results in the conditions of high
specificity, accuracy and sensitivity (92.50,97.20,93.02) %. The ABC #algorithmic is effective and improves early detection with high accuracy
for skin lesions leads to decrease in death rates.
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Skin Lesions Detection using Meta-Heuristic Method by Mohanad Hasan Ali Aljanabi in BJSTR