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