Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches
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2021
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oai:scholars.utp.edu.my:364812023-06-19T02:55:43Z http://scholars.utp.edu.my/id/eprint/36481/ Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches Liew, Win Sheng Tang, Tong Boon Lin, Cheng-Hung Lu, Cheng-Kai Elsevier 2021 Article NonPeerReviewed Liew, Win Sheng and Tang, Tong Boon and Lin, Cheng-Hung and Lu, Cheng-Kai (2021) Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches. Computer Methods and Programs in Biomedicine, 206. p. 106114. |
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Liew, Win Sheng Tang, Tong Boon Lin, Cheng-Hung Lu, Cheng-Kai |
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Liew, Win Sheng Tang, Tong Boon Lin, Cheng-Hung Lu, Cheng-Kai Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches |
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Liew, Win Sheng Tang, Tong Boon Lin, Cheng-Hung Lu, Cheng-Kai |
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Liew, Win Sheng |
title |
Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches |
title_short |
Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches |
title_full |
Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches |
title_fullStr |
Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches |
title_full_unstemmed |
Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches |
title_sort |
automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches |
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Elsevier |
publishDate |
2021 |
url |
http://scholars.utp.edu.my/id/eprint/36481/ |
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1769845512337358848 |
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13.211869 |