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

International Journal of Biomedical Imaging
Mustain BillahMohammad Motiur Rahman


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 operator dependent procedure, several human factors can lead to misdetection of polyps. Computer aided polyp detection can reduce polyp miss detection rate and assists doctors in finding the most important regions to pay attention to. In this paper, an automatic system has been proposed as a support to gastrointestinal polyp detection. This system captures the video streams from endoscopic video and, in the output, it shows the identified polyps. Color wavelet (CW) features and convolutional neural network (CNN) features of video frames are extracted and combined together which are used to train a linear support vector machine (SVM). Evaluations on standard public databases show that the proposed system outperforms the state-of-the-art methods, gaining accuracy of 98.65%, sensitivity of 98.79%, and specificity of 98.52%.


Sep 19, 2019·Expert Review of Medical Devices·Jiangchang XuXiaojun Chen
Mar 13, 2020·PloS One·Michelle ViscainoFernando Auat Cheein
Jan 22, 2020·Current Treatment Options in Gastroenterology·Nicholas HoerterPeter S Liang
Feb 6, 2019·Surgical Endoscopy·Jang Hyung LeeJun-Won Chung
Apr 24, 2019·World Journal of Gastroenterology : WJG·Young Joo Yang, Chang Seok Bang


Sep 22, 2000·Artificial Intelligence in Medicine·D West, V West
Jan 29, 2002·IEEE Transactions on Medical Imaging·S B GöktürkS Napel
Feb 18, 2003·IEEE Transactions on Medical Imaging·Issam El-NaqaRobert M Nishikawa
Oct 2, 2003·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Stavros A KarkanisM Tzivras
Nov 19, 2005·Computers in Biology and Medicine·Dimitris K IakovidisStavros A Karkanis
Nov 17, 2016·Computational and Mathematical Methods in Medicine·Eduardo RibeiroMichael Häfner
Dec 23, 2016·IEEE Transactions on Medical Imaging·Pablo MesejoAdrien Bartoli

Related Concepts

Endoscopy (Procedure)
Biological Neural Networks
Diagnostic Radiology Modality
Neural Network Simulation
Video Media
Malignant Neoplasms
Video Imaging
Capsule Endoscopy

Trending Feeds


Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Synapse Loss as Therapeutic Target in MS

As we age, the number of synapses present in the human brain starts to decline, but in neurodegenerative diseases this occurs at an accelerated rate. In MS, it has been shown that there is a reduction in synaptic density, which presents a potential target for treatment. Here is the latest research on synapse loss as a therapeutic target in MS.

Artificial Intelligence in Cardiac Imaging

Artificial intelligence (ai) techniques are increasingly applied to cardiovascular (cv) medicine in cardiac imaging analysis. Here is the latest research.

Position Effect Variegation

Position Effect Variagation occurs when a gene is inactivated due to its positioning near heterochromatic regions within a chromosome. Discover the latest research on Position Effect Variagation here.

Social Learning

Social learning involves learning new behaviors through observation, imitation and modeling. Follow this feed to stay up to date on the latest research.

Cell Atlas of the Human Eye

Constructing a cell atlas of the human eye will require transcriptomic and histologic analysis over the lifespan. This understanding will aid in the study of development and disease. Find the latest research pertaining to the Cell Atlas of the Human Eye here.

Single Cell Chromatin Profiling

Techniques like ATAC-seq and CUT&Tag have the potential to allow single cell profiling of chromatin accessibility, histones, and TFs. This will provide novel insight into cellular heterogeneity and cell states. Discover the latest research on single cell chromatin profiling here.

Genetic Screens in iPSC-derived Brain Cells

Genetic screening is a critical tool that can be employed to define and understand gene function and interaction. This feed focuses on genetic screens conducted using induced pluripotent stem cell (iPSC)-derived brain cells.

Related Papers

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society
E Nasr-EsfahaniK Najarian
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Jie ChenMatti Pietikainen
© 2020 Meta ULC. All rights reserved