A survey on medical digital imaging of endoscopic gastritis

Author

Yacob, Yasmin Mohd ; Sakim, Harsa Mat Amylia ; Baharudin, Norain ; Yeh, Lee Yeong ; Isa, Nor Mat Ashidi

Author_Institution

Sch. of Electr. & Electron. Eng., Univ. Sains Malaysia, Nibong Tebal, Malaysia

fYear

2009

fDate

23-26 Jan. 2009

Firstpage

1

Lastpage

6

Abstract

This paper focuses on researches related to medical digital imaging of endoscopic gastritis. It provides suffice information on endoscopic procedure and types of gastritis. Besides that, it also briefly addressed feature extraction methods. Feature selection and Multiple Instance Learning (MIL) concept are also reviewed. As a conclusion, this paper become a basis to propose an improved artificial intelligence algorithm to perform endoscopic gastritis diagnosis.

Keywords

endoscopes; feature extraction; learning (artificial intelligence); medical image processing; Multiple Instance Learning; artificial intelligence; endoscopic gastritis; feature extraction; feature selection; medical digital imaging; Biomedical imaging; Biopsy; Digestive system; Digital images; Diseases; Endoscopes; Feature extraction; Hospitals; Medical diagnostic imaging; Stomach; MIL; endoscopic gastritis; feature extraction; feature selection;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2009 - 2009 IEEE Region 10 Conference

Conference_Location

Singapore

Print_ISBN

978-1-4244-4546-2

Electronic_ISBN

978-1-4244-4547-9

Type

conf

DOI

10.1109/TENCON.2009.5395880

Filename

5395880