Abstract

The use of neural networks for automatic identification of variegated coloring, which is believed to be one of the most predictive features for malignant melanoma, is described. The Nestor development system (NDS) was chosen for neural network implementation. At the heart of NDS is a three-layer neural network called a restricted Coulomb energy (RCE) network. The learning scheme and the database for detection of variegated coloring are discussed. Results are reported

Department(s)

Chemistry

Second Department

Electrical and Computer Engineering

Keywords and Phrases

3-Layer Neural Network; Nestor Development System; Colour; Database; Learning Scheme; Malignant Melanoma Predictive Features; Medical Diagnosis; Medical Image Processing; Neural Nets; Restricted Coulomb Energy Network; Rule-Based Induction Methods; Skin; Variegated Coloring Identification

International Standard Serial Number (ISSN)

0739-5175

Document Type

Article - Journal

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 1993 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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