TY - GEN
T1 - Lymphangiectasia detection in Wireless Capsule Endoscopy images using Fisher Transform Method
AU - Alizadeh, Mahdi
AU - Eskandari, Hoda
AU - Sharzehi, Kaveh
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/2
Y1 - 2015/6/2
N2 - Finding borders of interests in both normal and abnormal images might be helpful for physician to make decision of an image being normal or abnormal. Also, in some points instead of entire images these detected borders can be considered for processing. In this paper, the author proposed the Fisher Transform Method (FTM) as edge detection method. FTM increases gradient of endoscopy images and then, it will represent better performance rather than traditional methods. The proposed FTM was applied on 21 endoscopic images consist of normal and abnormal images included Lymphangiectasia captured by Wireless Capsule Endoscopy (WCE). The results show that, this method presents a better performance rather than color Canny edge detector. The detection results were validated with ground truth image was drawn by an independent board certified gastroenterologists. The proposed method was detected 96% of borders of Lymphangiectasia and 75% of borders in normal images. In comparison, it was detected 75% and 51% of Lymphangiectasia and normal image borders before using FTM respectively.
AB - Finding borders of interests in both normal and abnormal images might be helpful for physician to make decision of an image being normal or abnormal. Also, in some points instead of entire images these detected borders can be considered for processing. In this paper, the author proposed the Fisher Transform Method (FTM) as edge detection method. FTM increases gradient of endoscopy images and then, it will represent better performance rather than traditional methods. The proposed FTM was applied on 21 endoscopic images consist of normal and abnormal images included Lymphangiectasia captured by Wireless Capsule Endoscopy (WCE). The results show that, this method presents a better performance rather than color Canny edge detector. The detection results were validated with ground truth image was drawn by an independent board certified gastroenterologists. The proposed method was detected 96% of borders of Lymphangiectasia and 75% of borders in normal images. In comparison, it was detected 75% and 51% of Lymphangiectasia and normal image borders before using FTM respectively.
KW - Fisher Transform Method
KW - Lymphangiectasia
KW - Wireless Capsule Endoscopy
KW - color Canny edge detector
UR - http://www.scopus.com/inward/record.url?scp=84941100934&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84941100934&partnerID=8YFLogxK
U2 - 10.1109/NEBEC.2015.7117145
DO - 10.1109/NEBEC.2015.7117145
M3 - Conference contribution
AN - SCOPUS:84941100934
T3 - 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015
BT - 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015
Y2 - 17 April 2015 through 19 April 2015
ER -