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Background and Objective: Colorectal cancer prevention relies on early detection of polyps during colonoscopy. Existing public datasets, such as CVC-ClinicDB and Kvasir-SEG, provide valuable benchmarks but are limited by small sample sizes,…

Image and Video Processing · Electrical Eng. & Systems 2025-11-11 Ridoy Chandra Shil , Ragib Abid , Tasnia Binte Mamun , Samiul Based Shuvo , Masfique Ahmed Bhuiyan , Jahid Ferdous

Survival rates for colorectal cancer are higher when polyps are detected at an early stage and can be removed before they develop into malignant tumors. Automated polyp detection, which is dominated by deep learning based methods, seeks to…

Machine Learning · Computer Science 2020-08-25 Maxime Kayser , Roger D. Soberanis-Mukul , Anna-Maria Zvereva , Peter Klare , Nassir Navab , Shadi Albarqouni

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

In this study, with the goal of reducing the early detection miss rate of colorectal cancer (CRC) polyps, we propose utilizing a novel hyper-sensitive vision-based tactile sensor called HySenSe and a complementary and novel machine learning…

Machine Learning · Computer Science 2022-11-15 Nethra Venkatayogi , Qin Hu , Ozdemir Can Kara , Tarunraj G. Mohanraj , S. Farokh Atashzar , Farshid Alambeigi

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

Colonoscopy is widely recognised as the gold standard procedure for the early detection of colorectal cancer (CRC). Segmentation is valuable for two significant clinical applications, namely lesion detection and classification, providing…

Image and Video Processing · Electrical Eng. & Systems 2022-08-18 Edward Sanderson , Bogdan J. Matuszewski

Colorectal cancer (CRC) is the first cause of death in many countries. CRC originates from a small clump of cells on the lining of the colon called polyps, which over time might grow and become malignant. Early detection and removal of…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Truong Dang , Thanh Nguyen , John McCall , Alan Wee-Chung Liew

Automatic polyp detection and segmentation are highly desirable for colon screening due to polyp miss rate by physicians during colonoscopy, which is about 25%. However, this computerization is still an unsolved problem due to various…

Computer Vision and Pattern Recognition · Computer Science 2019-07-23 Hemin Ali Qadir , Younghak Shin , Johannes Solhusvik , Jacob Bergsland , Lars Aabakken , Ilangko Balasingham

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

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 ranks among the most common and deadly cancers, emphasizing the need for effective early detection and treatment. To address the limitations of traditional colonoscopy, including high miss rates due to polyp variability,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Arshia Yousefi Nezhad , Helia Aghaei , Hedieh Sajedi

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

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 common fatal cancer in the world. Polypectomy can effectively interrupt the progression of adenoma to adenocarcinoma, thus reducing the risk of CRC development. Colonoscopy is the primary method to…

Image and Video Processing · Electrical Eng. & Systems 2022-04-19 Zihuan Qiu , Zhichuan Wang , Miaomiao Zhang , Ziyong Xu , Jie Fan , Linfeng Xu

Introduction: This study provides a comprehensive performance assessment of vision-language models (VLMs) against established convolutional neural networks (CNNs) and classic machine learning models (CMLs) for computer-aided detection…

Determining the necessity of resecting malignant polyps during colonoscopy screen is crucial for patient outcomes, yet challenging due to the time-consuming and costly nature of histopathology examination. While deep learning-based…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Ruijie Yang , Yan Zhu , Peiyao Fu , Yizhe Zhang , Zhihua Wang , Quanlin Li , Pinghong Zhou , Xian Yang , Shuo Wang

An important part of breast cancer staging is the assessment of the sentinel axillary node for early signs of tumor spreading. However, this assessment by pathologists is not always easy and retrospective surveys often requalify the status…

Quantitative Methods · Quantitative Biology 2024-04-30 Eric Bonnet

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

More than 90\% of colorectal cancer is gradually transformed from colorectal polyps. In clinical practice, precise polyp segmentation provides important information in the early detection of colorectal cancer. Therefore, automatic polyp…

Computer Vision and Pattern Recognition · Computer Science 2021-08-12 Xiaoqi Zhao , Lihe Zhang , Huchuan Lu

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
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