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An efficient deep learning model that can be implemented in real-time for polyp detection is crucial to reducing polyp miss-rate during screening procedures. Convolutional neural networks (CNNs) are vulnerable to small changes in the input…

Computer Vision and Pattern Recognition · Computer Science 2023-03-13 Hemin Ali Qadir , Younghak Shin , Jacob Bergsland , Ilangko Balasingham

Colorectal cancer (CRC) is the third cause of cancer death worldwide. Currently, the standard approach to reduce CRC-related mortality is to perform regular screening in search for polyps and colonoscopy is the screening tool of choice. The…

Computer Vision and Pattern Recognition · Computer Science 2016-12-05 David Vázquez , Jorge Bernal , F. Javier Sánchez , Gloria Fernández-Esparrach , Antonio M. López , Adriana Romero , Michal Drozdzal , Aaron Courville

Colorectal and prostate cancers are the most common types of cancer in men worldwide. To diagnose colorectal and prostate cancer, a pathologist performs a histological analysis on needle biopsy samples. This manual process is time-consuming…

Image and Video Processing · Electrical Eng. & Systems 2023-01-31 Remy Peyret , Duaa alSaeed , Fouad Khelifi , Nadia Al-Ghreimil , Heyam Al-Baity , Ahmed Bouridane

Colorectal diseases, including inflammatory conditions and neoplasms, require quick, accurate care to be effectively treated. Traditional diagnostic pipelines require extensive preparation and rely on separate, individual evaluations on…

Computer Vision and Pattern Recognition · Computer Science 2025-09-09 Krithik Ramesh , Ritvik Koneru

In this study, toward addressing the over-confident outputs of existing artificial intelligence-based colorectal cancer (CRC) polyp classification techniques, we propose a confidence-calibrated residual neural network. Utilizing a novel…

Computer Vision and Pattern Recognition · Computer Science 2023-04-27 Siddhartha Kapuria , Tarunraj G. Mohanraj , Nethra Venkatayogi , Ozdemir Can Kara , Yuki Hirata , Patrick Minot , Ariel Kapusta , Naruhiko Ikoma , Farshid Alambeigi

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

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

This research presents a machine-learning approach for tumor detection in medical images using convolutional neural networks (CNNs). The study focuses on preprocessing techniques to enhance image features relevant to tumor detection,…

Image and Video Processing · Electrical Eng. & Systems 2024-03-01 Ha Anh Vu

Colorectal cancer is a deadly disease that has become increasingly prevalent in recent years. Early detection is crucial for saving lives, but traditional diagnostic methods such as colonoscopy and biopsy have limitations. Colonoscopy…

Machine Learning · Statistics 2023-07-18 Shangqing Tong , Peng Ge , Yanan Jiao , Zhaofu Ma , Ziye Li , Longhai Liu , Feng Gao , Xiaohui Du , Fei Gao

Colorectal cancer is a leading cause of death worldwide. However, early diagnosis dramatically increases the chances of survival, for which it is crucial to identify the tumor in the body. Since its imaging uses high-resolution techniques,…

Image and Video Processing · Electrical Eng. & Systems 2021-03-18 Nisarg A. Shah , Divij Gupta , Romil Lodaya , Ujjwal Baid , Sanjay Talbar

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

Colorectal cancer (CRC) is the third most common cause of cancer diagnosed in the United States and the second leading cause of cancer-related death among both genders. Notably, CRC is the leading cause of cancer in younger men less than 50…

Computer Vision and Pattern Recognition · Computer Science 2024-09-11 Nikhil Kumar Tomar , Debesh Jha , Koushik Biswas , Tyler M. Berzin , Rajesh Keswani , Michael Wallace , Ulas Bagci

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

Colorectal cancer (CRC) remains one of the leading causes of cancer-related morbidity and mortality worldwide, with gastrointestinal (GI) polyps serving as critical precursors according to the World Health Organization (WHO). Early and…

Computer Vision and Pattern Recognition · Computer Science 2026-01-15 Akwasi Asare , Thanh-Huy Nguyen , Ulas Bagci

Background: Colonoscopy remains the gold-standard screening for colorectal cancer. However, significant miss rates for polyps have been reported, particularly when there are multiple small adenomas. This presents an opportunity to leverage…

Image and Video Processing · Electrical Eng. & Systems 2021-06-23 Michael Yeung , Evis Sala , Carola-Bibiane Schönlieb , Leonardo Rundo

Colorectal cancer is a leading cause of cancer death for both men and women. For this reason, histopathological characterization of colorectal polyps is the major instrument for the pathologist in order to infer the actual risk for cancer…

Image and Video Processing · Electrical Eng. & Systems 2022-12-29 Daniele Perlo , Enzo Tartaglione , Luca Bertero , Paola Cassoni , Marco Grangetto

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

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

Automatic colorectal polyp detection in colonoscopy video is a fundamental task, which has received a lot of attention. Manually annotating polyp region in a large scale video dataset is time-consuming and expensive, which limits the…

Image and Video Processing · Electrical Eng. & Systems 2021-01-01 Zhi-Qin Zhan , Huazhu Fu , Yan-Yao Yang , Jingjing Chen , Jie Liu , Yu-Gang Jiang

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