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Colonoscopy is a procedure to detect colorectal polyps which are the primary cause for developing colorectal cancer. However, polyp segmentation is a challenging task due to the diverse shape, size, color, and texture of polyps, shuttle…

Image and Video Processing · Electrical Eng. & Systems 2021-05-04 Krushi Patel , Andres M. Bur , Guanghui Wang

Colonoscopy screening effectively identifies and removes polyps before they progress to colorectal cancer (CRC), but current follow-up guidelines rely primarily on histopathological features, overlooking other important CRC risk factors.…

Computer Vision and Pattern Recognition · Computer Science 2025-04-15 Shuai Jiang , Christina Robinson , Joseph Anderson , William Hisey , Lynn Butterly , Arief Suriawinata , Saeed Hassanpour

Colorectal cancer is the third most common cause of cancer worldwide. According to Global cancer statistics 2018, the incidence of colorectal cancer is increasing in both developing and developed countries. Early detection of colon…

Image and Video Processing · Electrical Eng. & Systems 2021-01-01 Debesh Jha , Steven A. Hicks , Krister Emanuelsen , Håvard Johansen , Dag Johansen , Thomas de Lange , Michael A. Riegler , Pål Halvorsen

Colorectal cancer from the appearance of polyps that can be benign or malignant is one of the most fatal diseases in the world. To find these polyps in patients, colonoscopy is performed, which is a very efficient technique in this case.…

Image and Video Processing · Electrical Eng. & Systems 2021-03-30 Marcus V. L. Branch , Adriele S. Carvalho

Colorectal cancer is the third most common cancer-related death after lung cancer and breast cancer worldwide. The risk of developing colorectal cancer could be reduced by early diagnosis of polyps during a colonoscopy. Computer-aided…

Image and Video Processing · Electrical Eng. & Systems 2020-04-24 Sara Hosseinzadeh Kassani , Peyman Hosseinzadeh Kassani , Michal J. Wesolowski , Kevin A. Schneider , Ralph Deters

Computer-aided detection, localisation, and segmentation methods can help improve colonoscopy procedures. Even though many methods have been built to tackle automatic detection and segmentation of polyps, benchmarking of state-of-the-art…

Computer Vision and Pattern Recognition · Computer Science 2021-04-02 Debesh Jha , Sharib Ali , Nikhil Kumar Tomar , Håvard D. Johansen , Dag D. Johansen , Jens Rittscher , Michael A. Riegler , Pål Halvorsen

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

Colonoscopy is a vital tool for the early diagnosis of colorectal cancer, which is one of the main causes of cancer-related mortality globally; hence, it is deemed an essential technique for the prevention and early detection of colorectal…

Computer Vision and Pattern Recognition · Computer Science 2025-08-11 Ojonugwa Oluwafemi Ejiga Peter , Akingbola Oluwapemiisin , Amalahu Chetachi , Adeniran Opeyemi , Fahmi Khalifa , Md Mahmudur Rahman

Colorectal cancer (CRC) is one of the most commonly diagnosed cancers all over the world. It starts as a polyp in the inner lining of the colon. To prevent CRC, early polyp detection is required. Colonosopy is used for the inspection of the…

Computer Vision and Pattern Recognition · Computer Science 2025-01-17 Alok Ranjan Sahoo , Satya Sangram Sahoo , Pavan Chakraborty

Colorectal cancer is one of the most common cancers in the world. While colonoscopy is an effective screening technique, navigating an endoscope through the colon to detect polyps is challenging. A 3D map of the observed surfaces could…

Accurate polyp segmentation in colonoscopy is essential for early colorectal cancer detection, yet real-world clinical environments pose persistent challenges such as motion blur, specular reflections, and illumination instability. Most…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Zhuoyu Wu , Wenhui Ou , Lexi Zhang , Pei-Sze Tan , Dongjun Wu , Junhe Zhao , Wenqi Fang , Raphaël C. -W. Phan

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

Following recent advancements in computer-aided detection and diagnosis systems for colonoscopy, the automated reporting of colonoscopy procedures is set to further revolutionize clinical practice. A crucial yet underexplored aspect in the…

Computer Vision and Pattern Recognition · Computer Science 2025-04-28 Carlo Biffi , Giorgio Roffo , Pietro Salvagnini , Andrea Cherubini

Colonoscopy is a routine outpatient procedure used to examine the colon and rectum for any abnormalities including polyps, diverticula and narrowing of colon structures. A significant amount of the clinician's time is spent in…

Computer Vision and Pattern Recognition · Computer Science 2022-09-28 Aniruddha Tamhane , Tse'ela Mida , Erez Posner , Moshe Bouhnik

Colonoscopy is currently one of the most sensitive screening methods for colorectal cancer. This study investigates the frontiers of intelligent colonoscopy techniques and their prospective implications for multimodal medical applications.…

Image and Video Processing · Electrical Eng. & Systems 2025-09-25 Ge-Peng Ji , Jingyi Liu , Peng Xu , Nick Barnes , Fahad Shahbaz Khan , Salman Khan , Deng-Ping Fan

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

Colonoscopy is considered the gold standard for detection of colorectal cancer and its precursors. Existing examination methods are, however, hampered by high overall miss-rate, and many abnormalities are left undetected. Computer-Aided…

Computer Vision and Pattern Recognition · Computer Science 2021-07-28 Debesh Jha , Pia H. Smedsrud , Dag Johansen , Thomas de Lange , Håvard D. Johansen , Pål Halvorsen , Michael A. Riegler

Early diagnosis is essential for the successful treatment of bowel cancers including colorectal cancer (CRC) and capsule endoscopic imaging with robotic actuation can be a valuable diagnostic tool when combined with automated image…

Early detection and assessment of polyps play a crucial role in the prevention and treatment of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist clinicians in accurately locating and segmenting polyp…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Jiaxin Mei , Tao Zhou , Kaiwen Huang , Yizhe Zhang , Yi Zhou , Ye Wu , Huazhu Fu

In colonoscopy, 80% of the missed polyps could be detected with the help of Deep Learning models. In the search for algorithms capable of addressing this challenge, foundation models emerge as promising candidates. Their zero-shot or…