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Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification.

Y. Shin, and I. Balasingham. EMBC, page 3277-3280. IEEE, (2017)

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Energy efficient Network Mobility under Scatternet/WLAN coexistence.S. Byun, S. Choi, S. Woo, and I. Balasingham. PIMRC, page 742-746. IEEE, (2009)Automatic polyp frame screening using patch based combined feature and dictionary learning.Y. Shin, and I. Balasingham. Comput. Medical Imaging Graph., (2018)One-Step Approach for Two-Tiered Constrained Relay Node Placement in Wireless Sensor Networks.A. Chelli, M. Bagaa, D. Djenouri, I. Balasingham, and T. Taleb. IEEE Wirel. Commun. Lett., 5 (4): 448-451 (2016)Edge density based automatic detection of inflammation in colonoscopy videos.I. Sevo, A. Avramovic, I. Balasingham, O. Elle, J. Bergsland, and L. Aabakken. Comput. Biol. Medicine, (2016)Communication Aspects for a Measurement Based UWB in-Body to on-Body Channel.P. Floor, R. Chávez-Santiago, A. Kim, K. Kansanen, T. Ramstad, and I. Balasingham. IEEE Access, (2019)Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance.Y. Shin, H. Qadir, and I. Balasingham. IEEE Access, (2018)Formal Modeling and Analysis of Learning-Based Routing in Mobile Wireless Sensor Networks.F. Kazemeyni, O. Owe, E. Johnsen, and I. Balasingham. IRI (best papers), volume 263 of Advances in Intelligent Systems and Computing, page 127-150. Springer, (2013)Grouping Nodes in Wireless Sensor Networks Using Coalitional Game Theory.F. Kazemeyni, E. Johnsen, O. Owe, and I. Balasingham. FMOODS/FORTE, volume 6117 of Lecture Notes in Computer Science, page 95-109. Springer, (2010)Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification.Y. Shin, and I. Balasingham. EMBC, page 3277-3280. IEEE, (2017)An ultra-wideband wire spiral antenna for in-body communications using different material matching layers.A. Khaleghi, I. Balasingham, and R. Chávez-Santiago. EMBC, page 6985-6988. IEEE, (2014)

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Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification.

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Disambiguation of "Balasingham, Ilangko"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification.

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Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification.