Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9952316 | Computer Methods and Programs in Biomedicine | 2018 | 24 Pages |
Abstract
The proposed system established that Melanoma, BCC, nevus and BKL are efficiently classified using cubic SVM with the new feature set. In addition, the comparative studies proved the superiority of the cubic SVM to classify the four classes.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Maram A. Wahba, Amira S. Ashour, Yanhui Guo, Sameh A. Napoleon, Mustafa M. Abd Elnaby,