An Automatic Gastrointestinal Polyp Detection System in Video Endoscopy Using Fusion of Color Wavelet and Convolutional Neural Network Features

An Automatic Gastrointestinal Polyp Detection System in Video Endoscopy Using Fusion of Color Wavelet and Convolutional Neural Network Features

Gastrointestinal polyps are considered to be the precursors of cancer development in most of the cases. Therefore, early detection and removal of polyps can reduce the possibility of cancer. Video endoscopy is the most used diagnostic modality for gastrointestinal polyps. But, because it is an opera...

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Bibliographic Details
Main Authors: Mustain Billah, Sajjad Waheed, Mohammad Motiur Rahman
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2017/9545920
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