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Precise and real-time detection of gastrointestinal polyps during endoscopic procedures is crucial for early diagnosis and prevention of colorectal cancer. This work presents EndoSight AI, a deep learning architecture developed and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Daniel Cavadia

We present a computer-aided detection algorithm for polyps in optical colonoscopy images. Polyps are the precursors to colon cancer. In the US alone, more than 14 million optical colonoscopies are performed every year, mostly to screen for…

Computer Vision and Pattern Recognition · Computer Science 2016-09-13 Saad Nadeem , Arie Kaufman

Video capsule endoscopy (VCE) is used widely nowadays for visualizing the gastrointestinal (GI) tract. Capsule endoscopy exams are prescribed usually as an additional monitoring mechanism and can help in identifying polyps, bleeding, etc.…

Computer Vision and Pattern Recognition · Computer Science 2017-01-03 V. B. Surya Prasath

Colonoscopy is the most widely used medical technique for preventing Colorectal Cancer, by detecting and removing polyps before they become malignant. Recent studies show that around one quarter of the existing polyps are routinely missed.…

Computer Vision and Pattern Recognition · Computer Science 2024-03-14 G. Leifman , I. Kligvasser , R. Goldenberg , M. Elad , E. Rivlin

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

Polyp has long been considered as one of the major etiologies to colorectal cancer which is a fatal disease around the world, thus early detection and recognition of polyps plays a crucial role in clinical routines. Accurate diagnoses of…

Tissues and Organs · Quantitative Biology 2018-09-06 Xi Mo , Ke Tao , Quan Wang , Guanghui Wang

Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, location, and surface largely affect identification, localisation, and characterisation. Moreover, colonoscopic surveillance and removal…

In this paper, we propose and analyse a system that can automatically detect, localise and classify polyps from colonoscopy videos. The detection of frames with polyps is formulated as a few-shot anomaly classification problem, where the…

Computer Vision and Pattern Recognition · Computer Science 2021-01-12 Yu Tian , Leonardo Zorron Cheng Tao Pu , Yuyuan Liu , Gabriel Maicas , Johan W. Verjans , Alastair D. Burt , Seon Ho Shin , Rajvinder Singh , Gustavo Carneiro

Colorectal polyps are important precursors to colon cancer, a major health problem. Colon capsule endoscopy (CCE) is a safe and minimally invasive examination procedure, in which the images of the intestine are obtained via digital cameras…

Computer Vision and Pattern Recognition · Computer Science 2014-07-15 Alexander V. Mamonov , Isabel N. Figueiredo , Pedro N. Figueiredo , Yen-Hsi Richard Tsai

The automatic detection of frames containing polyps from a colonoscopy video sequence is an important first step for a fully automated colonoscopy analysis tool. Typically, such detection system is built using a large annotated data set of…

Image and Video Processing · Electrical Eng. & Systems 2021-02-09 Yuyuan Liu , Yu Tian , Gabriel Maicas , Leonardo Z. C. T. Pu , Rajvinder Singh , Johan W. Verjans , Gustavo Carneiro

Wireless capsule endoscopy is a medical procedure used to visualize the entire gastrointestinal tract and to diagnose intestinal conditions, such as polyps or bleeding. Current analyses are performed by manually inspecting nearly each one…

Image and Video Processing · Electrical Eng. & Systems 2020-10-05 Pablo Laiz , Jordi Vitrià , Hagen Wenzek , Carolina Malagelada , Fernando Azpiroz , Santi Seguí

Polyps represent an early sign of the development of Colorectal Cancer. The standard procedure for their detection consists of colonoscopic examination of the gastrointestinal tract. However, the wide range of polyp shapes and visual…

Image and Video Processing · Electrical Eng. & Systems 2021-10-06 Adrian Galdran , Gustavo Carneiro , Miguel A. González Ballester

Automated diagnostic systems (ADS) have shown significant potential in the early detection of polyps during endoscopic examinations, thereby reducing the incidence of colorectal cancer. However, due to high annotation costs and strict…

Computer Vision and Pattern Recognition · Computer Science 2025-10-09 Shengyuan Liu , Zhen Chen , Qiushi Yang , Weihao Yu , Di Dong , Jiancong Hu , Yixuan Yuan

Gastroendoscopy has been a clinical standard for diagnosing and treating conditions that affect a part of a patient's digestive system, such as the stomach. Despite the fact that gastroendoscopy has a lot of advantages for patients, there…

Computer Vision and Pattern Recognition · Computer Science 2021-07-29 Aji Resindra Widya , Yusuke Monno , Masatoshi Okutomi , Sho Suzuki , Takuji Gotoda , Kenji Miki

Computerized detection of colonic polyps remains an unsolved issue because of the wide variation in the appearance, texture, color, size, and presence of the multiple polyp-like imitators during colonoscopy. In this paper, we propose a deep…

Computer Vision and Pattern Recognition · Computer Science 2020-08-18 Tariq Rahim , Syed Ali Hassan , Soo Young Shin

A large number of different lesions and pathologies can affect the human digestive system, resulting in life-threatening situations. Early detection plays a relevant role in the successful treatment and the increase of current survival…

Image and Video Processing · Electrical Eng. & Systems 2021-11-18 Adrian Galdran , Gustavo Carneiro , Miguel A. González Ballester

Endoscopic examinations are used to inspect the throat, stomach and bowel for polyps which could develop into cancer. Machine learning systems can be trained to process colonoscopy images and detect polyps. However, these systems tend to…

Computer Vision and Pattern Recognition · Computer Science 2020-11-02 Daniel C. Ohrenstein , Patrick Brandao , Daniel Toth , Laurence Lovat , Danail Stoyanov , Peter Mountney

Despite recent surge of interest in deploying colon capsule endoscopy (CCE) for early diagnosis of colorectal diseases, there remains a large gap between the current state of CCE in clinical practice, and the state of its counterpart…

Image and Video Processing · Electrical Eng. & Systems 2024-06-17 Esmaeil S. Nadimi , Jan-Matthias Braun , Benedicte Schelde-Olesen , Emile Prudhomme , Victoria Blanes-Vidal , Gunnar Baatrup

Capsule endoscopy is a novel and non-invasive method for diagnosis, which assists gastroenterologists to monitor the digestive track. Although this new technology has many advantages over the conventional endoscopy, there are weaknesses…

Image and Video Processing · Electrical Eng. & Systems 2018-01-01 Mohammad Amin Khorsandi , Nader Karimi , Shadrokh Samavi

Colonoscopy is the most common procedure for early detection and removal of polyps, a critical component of colorectal cancer prevention. Insufficient visual coverage of the colon surface during the procedure often results in missed polyps.…

Computer Vision and Pattern Recognition · Computer Science 2022-10-20 Emmanuelle Muhlethaler , Erez Posner , Moshe Bouhnik
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