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Related papers: WCE Polyp Detection with Triplet based Embeddings

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Computer tomographic colonography, combined with computer-aided detection, is a promising emerging technique for colonic polyp analysis. We present a complete pipeline for polyp detection, starting with a simple colon segmentation technique…

Computer Vision and Pattern Recognition · Computer Science 2012-10-01 Marcelo Fiori , Pablo Musé , Guillermo Sapiro

Colorectal cancer (CRC), which frequently originates from initially benign polyps, remains a significant contributor to global cancer-related mortality. Early and accurate detection of these polyps via colonoscopy is crucial for CRC…

Computer Vision and Pattern Recognition · Computer Science 2024-04-18 Ziyu Zhou , Wenyuan Shen , Chang Liu

Wireless Capsule Endoscope (WCE) is an innovative imaging device that permits physicians to examine all the areas of the Gastrointestinal (GI) tract. It is especially important for the small intestine, where traditional invasive endoscopies…

Computer Vision and Pattern Recognition · Computer Science 2015-04-24 Isabel N. Figueiredo , Carlos Leal , Luís Pinto , Pedro N. Figueiredo , Richard Tsai

Identifying unique polyps in colon capsule endoscopy (CCE) images is a critical yet challenging task for medical personnel due to the large volume of images, the cognitive load it creates for clinicians, and the ambiguity in labeling…

Computer Vision and Pattern Recognition · Computer Science 2026-01-22 Puneet Sharma , Kristian Dalsbø Hindberg , Eibe Frank , Benedicte Schelde-Olesen , Ulrik Deding

Wireless capsule endoscopy (WCE) is a painless and non-invasive diagnostic tool for gastrointestinal (GI) diseases. However, due to GI anatomical constraints and hardware manufacturing limitations, WCE vision signals may suffer from…

Image and Video Processing · Electrical Eng. & Systems 2023-07-25 Long Bai , Tong Chen , Yanan Wu , An Wang , Mobarakol Islam , Hongliang Ren

Wireless Capsule Endoscopy is a non-invasive imaging method for the entire gastrointestinal tract, and is a pain-free alternative to traditional endoscopy. It generates extensive video data that requires significant review time, and…

Computer Vision and Pattern Recognition · Computer Science 2025-05-01 Henry John Krumb , Anirban Mukhopadhyay

Colorectal cancer (CRC) is a common and lethal disease. Globally, CRC is the third most commonly diagnosed cancer in males and the second in females. For colorectal cancer, the best screening test available is the colonoscopy. During a…

Image and Video Processing · Electrical Eng. & Systems 2019-09-27 Dechun Wang , Ning Zhang , Xinzi Sun , Pengfei Zhang , Chenxi Zhang , Yu Cao , Benyuan Liu

Automatic detection of colonic polyps is still an unsolved problem due to the large variation of polyps in terms of shape, texture, size, and color, and the existence of various polyp-like mimics during colonoscopy. In this study, we apply…

Computer Vision and Pattern Recognition · Computer Science 2019-06-28 Younghak Shin , Hemin Ali Qadir , Lars Aabakken , Jacob Bergsland , Ilangko Balasingham

Accurate polyp detection is critical for early colorectal cancer diagnosis. Although remarkable progress has been achieved in recent years, the complex colon environment and concealed polyps with unclear boundaries still pose severe…

Computer Vision and Pattern Recognition · Computer Science 2024-01-11 Yuncheng Jiang , Zixun Zhang , Yiwen Hu , Guanbin Li , Xiang Wan , Song Wu , Shuguang Cui , Silin Huang , Zhen Li

Wireless Capsule Endoscopy (WCE) helps physicians examine the gastrointestinal (GI) tract noninvasively. There are few studies that address pathological assessment of endoscopy images in multiclass classification and most of them are based…

Computer Vision and Pattern Recognition · Computer Science 2021-08-23 Mohammad Reza Mohebbian , Khan A. Wahid , Paul Babyn

Colorectal polyps are important precursors to colon cancer, the third most common cause of cancer mortality for both men and women. It is a disease where early detection is of crucial importance. Colonoscopy is commonly used for early…

Computer Vision and Pattern Recognition · Computer Science 2019-11-25 Ahmed Mohammed , Sule Yildirim , Ivar Farup , Marius Pedersen , Øistein Hovde

Examining and interpreting of a large number of wireless endoscopic images from the gastrointestinal tract is a tiresome task for physicians. A practical solution is to automatically construct a two dimensional representation of the…

Signal Processing · Electrical Eng. & Systems 2018-03-16 Rahman Attar , Xiang Xie , Zhihua Wang , Shigang Yue

Colorectal cancer (CRC) is one of the most common types of cancer with a high mortality rate. Colonoscopy is the preferred procedure for CRC screening and has proven to be effective in reducing CRC mortality. Thus, a reliable computer-aided…

Computer Vision and Pattern Recognition · Computer Science 2021-09-15 Kaidong Li , Mohammad I. Fathan , Krushi Patel , Tianxiao Zhang , Cuncong Zhong , Ajay Bansal , Amit Rastogi , Jean S. Wang , Guanghui Wang

Biomedical image segmentation is a very important part in disease diagnosis. The term "colonic polyps" refers to polypoid lesions that occur on the surface of the colonic mucosa within the intestinal lumen. In clinical practice, early…

Image and Video Processing · Electrical Eng. & Systems 2024-04-02 Chen Peng , Zhiqin Qian , Kunyu Wang , Qi Luo , Zhuming Bi , Wenjun Zhang

Accurate segmentation of polyps in colonoscopy images is essential for early-stage diagnosis and management of colorectal cancer. Despite advancements in deep learning for polyp segmentation, enduring limitations persist. The edges of…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Mengqi Lei , Xin Wang

Wireless Capsule Endoscopy (WCE) is relatively a new technology to examine the entire GI trace. During an examination, it captures more than 55,000 frames. Reviewing all these images is time-consuming and prone to human error. It has been a…

Computer Vision and Pattern Recognition · Computer Science 2017-11-20 Omid Haji Maghsoudi

This paper is created to explore deep learning models and algorithms that results in highest accuracy in detecting polyp on colonoscopy images. Previous studies implemented deep learning using convolution neural network (CNN) algorithm in…

Image and Video Processing · Electrical Eng. & Systems 2022-03-09 Ariel E. Isidro , Arnel C. Fajardo , Alexander A. Hernandez

Colonic polyps are well-recognized precursors to colorectal cancer (CRC), typically detected during colonoscopy. However, the variability in appearance, location, and size of these polyps complicates their detection and removal, leading to…

The detection and removal of precancerous polyps through colonoscopy is the primary technique for the prevention of colorectal cancer worldwide. However, the miss rate of colorectal polyp varies significantly among the endoscopists. It is…

Image and Video Processing · Electrical Eng. & Systems 2022-06-24 Nikhil Kumar Tomar , Abhishek Srivastava , Ulas Bagci , Debesh Jha

Colorectal cancer, largely arising from precursor lesions called polyps, remains one of the leading causes of cancer-related death worldwide. Current clinical standards require the resection and histopathological analysis of polyps due to…

Image and Video Processing · Electrical Eng. & Systems 2020-01-13 Rodney LaLonde , Pujan Kandel , Concetto Spampinato , Michael B. Wallace , Ulas Bagci