Presentation
Neural Networks Skin Tumor Diagnostic System
Proceedings of the 2003 International Conference on Neural Networks and Signal Processing, 2003
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.
Publication Date
1-1-2003
Publication Date
01 Jan 2003
Disciplines
Citation Information
Zhao Zhang, William V. Stoecker and Randy Hays Moss. "Neural Networks Skin Tumor Diagnostic System" Proceedings of the 2003 International Conference on Neural Networks and Signal Processing, 2003 (2003) Available at: http://works.bepress.com/zhao-zhang/13/