期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2019
卷号：8
期号：2
页码：187-191
出版社：IJCSN publisher
摘要：Early detection of melanoma skin cancer is critical for effective treatment. In recent times, it is well known that the most
hazardous form of skin cancer is melanoma, as it is spread out very fatly in the entire body parts. Therefore, it needs to be treated at
its earliest stage. The image processing plays an essential role in the detection and classification of diseases on the images obtained
from the digital clinic. In this paper, the existing non invasive techniques are studied which provides an automated image analysis
tools and statistics for accurate and rapid assessment of lesions in the images. The performance of several classifiers specifically for
the diagnosis of skin lesions is compared and also discussed the corresponding findings. It is found that the artificial intelligence
technique performed well when it is integrated with other optimization technique.
