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Author Minemoto, T. ♦ Odama, S. ♦ Saitoh, A. ♦ Isokawa, T. ♦ Kamiura, N. ♦ Nishimura, H. ♦ Ono, S. ♦ Matsui, N.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Pixel ♦ Tumors ♦ Indexes ♦ Stomach ♦ X-ray imaging ♦ Strontium ♦ Diagnostic radiography
Abstract Double contrast (DC) X-ray images are useful and cost-effective for the diagnosis of stomach tumors. However, it is difficult to automatically extract tumors from these images. This is due to the variations in the tumors appearing in the images as a result of the changes in stomach shapes and the distribution of barium meal in the stomach. In this paper, we propose an automated method for detecting tumors in DC X-ray images. Our method utilizes the distributions of contrast gradients in the images. The performance of our method is demonstrated by using actual DC X-ray images.
Description Author affiliation: Ako City Hospital, Ako, Hyogo, Japan (Ono, S.) || Division of Computer Engineering, University of Hyogo, Japan (Minemoto, T.; Odama, S.; Saitoh, A.; Isokawa, T.; Kamiura, N.; Nishimura, H.; Matsui, N.)
ISBN 9781424469192
ISSN 10987584
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-07-18
Publisher Place Spain
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424469215
Size (in Bytes) 2.19 MB
Page Count 5
Starting Page 1
Ending Page 5


Source: IEEE Xplore Digital Library