Neural Networks Skin Tumor Diagnostic System

Zhao Zhang
William V. Stoecker, Missouri University of Science and Technology
Randy Hays Moss, Missouri University of Science and Technology

This document has been relocated to http://scholarsmine.mst.edu/ele_comeng_facwork/1770

There were 5 downloads as of 28 Jun 2016.

Abstract

In this study, a malignant melanoma diagnostic system is designed using a straightforward neural network with the back-propagation learning algorithm. Eleven features are automatically extracted from skin tumor images. The correct diagnostic rate of this system is better than the average rate of 16 dermatologists who based their diagnosis with only the slide images.