Title :
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
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;
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
DOI :
10.1109/TENCON.2009.5395880
