Melanoma is a malignant and aggressive type of skin cancer. This paper describes an effective method for detection of melanoma. A hybrid classification algorithm was developed by using the SVM algorithm and a heuristic optimization algorithm. In this algorithm, the SVM algorithm which uses a Gaussian Radial Basis Function (RBF) was enhanced by the Bacterial Colony algorithm (hybSVM). The model was tested with two different datasets namely ISIC and PH2 by using 10 cross fold validation. According to results AUC value of 98%, 97% and an operation time of 26.5, 11.9 sec obtained respectively from ISIC and PH2.

中文翻译：

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hybSVM：基于细菌菌落优化算法的 SVM 用于恶性黑色素瘤检测

黑色素瘤是一种恶性和侵袭性的皮肤癌。本文介绍了一种检测黑色素瘤的有效方法。利用SVM算法和启发式优化算法开发了一种混合分类算法。在该算法中，使用高斯径向基函数 (RBF) 的 SVM 算法通过细菌菌落算法 (hybSVM) 进行了增强。该模型使用两个不同的数据集，即 ISIC 和 PH2，通过 10 次交叉验证进行了测试。根据结果​​分别从ISIC和PH2获得的AUC值分别为98%、97%和26.5、11.9秒的操作时间。