Title
Image processing for computer-aided diagnosis of lung cancer screening system by CT (LSCT)
Abstract
In this paper, we report the image processing technique for computer-aided diagnosis of lung cancer screening system by CT (LSCT). LSCT is the newly developed mobile-type CT scanner for the mass screening of lung cancer by our project team. In this new LSCT system, one essential problem is the increase of image information to be diagnosed by a doctor to about 30 slices per patient from 1 X-ray film. To solve this difficult problem, we are trying to reduce the image information drastically to be displayed for the doctor by image processing techniques. We propose a new method named Variable New-Quoit filter for the automatic recognition of the pathological shadow candidates. Our computer aided diagnosis (CAD) system can satisfactorily reduce the number of CT cross sections by this method, containing the abnormal shadow candidates.
Year
DOI
Venue
1998
10.1117/12.310860
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
X-ray CT image processing,mathematical morphology,isolated shadow extraction,automatic diagnosis,lung cancer
Computer vision,Lung cancer screening,Lung disease,Computer-aided diagnosis,Image processing,Scanner,Artificial intelligence,Medicine,Cartography
Conference
Volume
ISSN
Citations 
3338
0277-786X
12
PageRank 
References 
Authors
1.59
0
8
Name
Order
Citations
PageRank
toshiaki okumura1121.59
Tomoko Miwa2132.02
Junichi Kako3409.02
Shinji Yamamoto49416.35
Mitsuomi Matsumoto5315.47
Yukio Tateno67914.41
Takeshi Iinuma7558.64
Tohru Matsumoto88210.34