DocumentCode
2707690
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
Volume
1
fYear
2003
fDate
14-17 Dec. 2003
Firstpage
191
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location
Nanjing
Print_ISBN
0-7803-7702-8
Type
conf
DOI
10.1109/ICNNSP.2003.1279243
Filename
1279243
Link To Document