DocumentCode :
1908552
Title :
Neural network image analysis and classification in hybrid lung nodule detection (HLND) system
Author :
Chiou, Y. S Peter ; Lure, Y. M Fleming ; Ligomenides, Panos A.
Author_Institution :
Caelum Res. Corp., Silver Spring, MD, USA
fYear :
1993
fDate :
6-9 Sep 1993
Firstpage :
517
Lastpage :
526
Abstract :
A hybrid lung nodule detection (HLND) system based on artificial neural network architectures is developed for improving diagnostic accuracy and speed of lung cancerous pulmonary radiology. The configuration of the HLND system includes the following processing phases: (1) pre-processing to enhance the figure-background contrast; (2) quick selection of nodule suspects based upon the most prominent feature of nodules; and (3) complete feature space determination and neural classification of nodules. The feature analysis, extraction and classification with artificial neural networks (ANN) are described. Preliminary results from the approach are reported
Keywords :
image recognition; lung; medical diagnostic computing; medical image processing; neural nets; radiology; feature space; image analysis; lung cancerous pulmonary radiology; lung nodule detection; medical diagnostic computing; neural classification; neural network architectures; Artificial neural networks; Cancer detection; Image analysis; Intelligent networks; Lungs; Neural networks; Radiography; Radiology; X-ray detection; X-ray detectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks for Processing [1993] III. Proceedings of the 1993 IEEE-SP Workshop
Conference_Location :
Linthicum Heights, MD
Print_ISBN :
0-7803-0928-6
Type :
conf
DOI :
10.1109/NNSP.1993.471836
Filename :
471836
Link To Document :
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