TY - GEN
T1 - Enhancing automatic polyp detection accuracy using fusion techniques
AU - El-Khatib, Alaa
AU - Werghi, Naoufel
AU - Al-Ahmad, Hussain
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/2
Y1 - 2017/3/2
N2 - In this paper, we address the problem of automatic polyp detection in endoscopy videos. We propose feature fusion and multiple classifier technique using a variety of features that include wavelet features, Local Binary Patterns and Gabor features. We show that such a combination can mitigate, to a reasonable extent, the high rate of false positives common in this particular problem. Moreover, we study the effect of specular reflection removal on performance and show that, despite being a common preprocessing step, it can in some cases lead to worse results. Experiments conducted with ASU-Mayo Clinic Polyp Database confirm the validity of our scheme.
AB - In this paper, we address the problem of automatic polyp detection in endoscopy videos. We propose feature fusion and multiple classifier technique using a variety of features that include wavelet features, Local Binary Patterns and Gabor features. We show that such a combination can mitigate, to a reasonable extent, the high rate of false positives common in this particular problem. Moreover, we study the effect of specular reflection removal on performance and show that, despite being a common preprocessing step, it can in some cases lead to worse results. Experiments conducted with ASU-Mayo Clinic Polyp Database confirm the validity of our scheme.
UR - http://www.scopus.com/inward/record.url?scp=85015887445&partnerID=8YFLogxK
U2 - 10.1109/MWSCAS.2016.7870030
DO - 10.1109/MWSCAS.2016.7870030
M3 - Conference contribution
AN - SCOPUS:85015887445
T3 - Midwest Symposium on Circuits and Systems
BT - 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016
Y2 - 16 October 2016 through 19 October 2016
ER -