Title :
Neural networks skin tumor diagnostic system
Author :
Zhang, Zhao ; Moss, Randy H. ; Stoecker, William V.
Author_Institution :
Dept. of Eng. Technol., Missouri Western State Coll., St. Joseph, MO, USA
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.
Keywords :
backpropagation; feature extraction; medical image processing; neural nets; tumours; backpropagation learning algorithm; feature extraction; malignant melanoma diagnostic system; neural networks; skin tumor diagnostic system; skin tumor images; Algorithm design and analysis; Cancer; Contamination; Educational institutions; Feature extraction; Malignant tumors; Neural networks; Shape; Skin neoplasms; USA Councils;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1279243
