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.

Meeting Name

2003 International Conference on Neural Networks and Signal Processing, 2003

Department(s)

Electrical and Computer Engineering

Second Department

Chemistry

Keywords and Phrases

Backpropagation; Backpropagation Learning Algorithm; Feature Extraction; Malignant Melanoma Diagnostic System; Medical Image Processing; Neural Nets; Neural Networks; Skin Tumor Diagnostic System; Skin Tumor Images; Tumours

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2003 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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