Feature set reduction and analysis for skin disease classification modeling using SVM-KNN and neural network

• Main Author: ZAMBALES, JOSHUA
• Format: text
• Published: Archīum Ateneo 2017
• Subjects: Skin > Diseases > Diagnosis; Diagnostic imaging > Data processing; Diagnostic imaging > Digital techniques; Image processing > Digital techniques; Support vector machines; Computer algorithms.
• Online Access: https://archium.ateneo.edu/theses-dissertations/188; http://rizalls.lib.admu.edu.ph/#section=resource&resourceid=1503024655&currentIndex=0&view=fullDetailsDetailsTab
• Institution: Ateneo De Manila University

In this study, two different approaches in classification of skin lesion using image processing techniques were compared. The first one used a fusion of SVM-KNN classifier while the other used a neural network. For pre-processing, the samples were filtered to reduce noise and then segmented to isola...