Title
Automatic detection method of lung cancers including ground-glass opacities from chest x-ray CT images
Abstract
In this paper, we described an algorithm of automatic detection of Ground Glass Opacities (GGO) from X-ray CT images. In this algorithm, at first, pathological shadow candidates are extracted by our Variable N-Quoit fitler which is a kind of Mathematical Morphology filter. Next, shadow candidates are classified into some classes using feature values calculated from the shadow candidates. By using discriminate functions, at last, shadow candidates are discriminated between normal shadows and abnormal ones. This method was examined by 38 samples (including GGO's shadows) of chest CT images, and proved to be very effective.
Year
DOI
Venue
2002
10.1117/12.467137
Proceedings of SPIE
Keywords
Field
DocType
computer-aided diagnosis,lung cancer,chest x-ray CT images,discriminate functions,mahalanobis distance,Bayes decision theories
Computer vision,Shadow,X-ray,Mathematical morphology,Opacity,Computed tomography,Artificial intelligence,Physics
Conference
Volume
ISSN
Citations 
4684
0277-786X
3
PageRank 
References 
Authors
0.47
0
8
Name
Order
Citations
PageRank
toshiharu ezoe130.47
Hotaka Takizawa28416.49
Shinji Yamamoto39416.35
Akinobu Shimizu451.54
Tohru Matsumoto58210.34
Yukio Tateno67914.41
takeshi iimura730.47
Mitsuomi Matsumoto8315.47