TY - GEN
T1 - Novel training and comparison method for blood detection in wireless capsule endoscopy images
AU - Ma, Jinwen
AU - Tillo, Tammam
AU - Zhang, Bailing
AU - Wang, Zhao
AU - Lim, Eng Gee
PY - 2013
Y1 - 2013
N2 - Wireless capsule endoscopy (WCE) is a device used to inspect the gastrointestinal (GI) track. This technology is noninvasive compared to other methods that are traditionally adopted in the examination of GI track. From the physicians' point of view, the WCE is a favorable approach because of its efficiency and accuracy. In this paper, a new discriminant mechanism of bleeding regions is proposed based on the use of Support Vector Machine (SVM) classifier. Different from the traditional SVM approach, in the proposed method single pixels are not used for training and testing data, however a cluster of pixels are used. This approach aims to eliminate some very small judged bleeding areas which in fact are not. The reported results demonstrate that the accuracy of the proposed method is significantly increased in comparison with traditional approaches. In addition, another improved method based on the square comparison is also proposed, and this has increased the gain.
AB - Wireless capsule endoscopy (WCE) is a device used to inspect the gastrointestinal (GI) track. This technology is noninvasive compared to other methods that are traditionally adopted in the examination of GI track. From the physicians' point of view, the WCE is a favorable approach because of its efficiency and accuracy. In this paper, a new discriminant mechanism of bleeding regions is proposed based on the use of Support Vector Machine (SVM) classifier. Different from the traditional SVM approach, in the proposed method single pixels are not used for training and testing data, however a cluster of pixels are used. This approach aims to eliminate some very small judged bleeding areas which in fact are not. The reported results demonstrate that the accuracy of the proposed method is significantly increased in comparison with traditional approaches. In addition, another improved method based on the square comparison is also proposed, and this has increased the gain.
KW - Support Vector Machines
KW - Wireless capsule endoscopy
KW - bleeding detection
KW - small area ignoring
KW - square comparison
UR - http://www.scopus.com/inward/record.url?scp=84881353801&partnerID=8YFLogxK
U2 - 10.1109/ISMICT.2013.6521699
DO - 10.1109/ISMICT.2013.6521699
M3 - Conference Proceeding
AN - SCOPUS:84881353801
SN - 9781467357722
T3 - International Symposium on Medical Information and Communication Technology, ISMICT
SP - 56
EP - 60
BT - 2013 7th International Symposium on Medical Information and Communication Technology, ISMICT 2013
T2 - 2013 7th International Symposium on Medical Information and Communication Technology, ISMICT 2013
Y2 - 6 March 2013 through 8 March 2013
ER -