Barrett′s mucosa segmentation in endoscopic images using a hybrid method: Spatial fuzzy c-mean and level set

Barrett′s mucosa segmentation in endoscopic images using a hybrid method: Spatial fuzzy c-mean and level set

Barrett's mucosa is one of the most important diseases in upper gastrointestinal system that caused by gastro-esophagus reflux. If left untreated, the disease will cause distal esophagus and gastric cardia adenocarcinoma. The malignancy risk is very high in short segment Barrett's mucosa....

Full description

Bibliographic Details
Main Authors: Hossein Yousefi-Banaem, Hossein Rabbani, Peyman Adibi
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2016-01-01
Series:Journal of Medical Signals and Sensors
Subjects:
Adenocarcinoma
algorithms
Barrett's mucosa
cardia
endoscopy
esophagogastric junction
fuzzy logic
gastroesophageal reflux
metaplasia
segmentation
Online Access:http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2016;volume=6;issue=4;spage=231;epage=236;aulast=Yousefi-Banaem

Internet

http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2016;volume=6;issue=4;spage=231;epage=236;aulast=Yousefi-Banaem

Similar Items