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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

Automatic detection of polyps is challenging because different polyps vary greatly, while the changes between polyps and their analogues are small. The state-of-the-art methods are based on convolutional neural networks (CNNs). However,…

Computer Vision and Pattern Recognition · Computer Science 2022-01-26 Jianwei Xu , Ran Zhao , Yizhou Yu , Qingwei Zhang , Xianzhang Bian , Jun Wang , Zhizheng Ge , Dahong Qian

Colonoscopy is an effective technique for detecting colorectal polyps, which are highly related to colorectal cancer. In clinical practice, segmenting polyps from colonoscopy images is of great importance since it provides valuable…

Image and Video Processing · Electrical Eng. & Systems 2020-07-06 Deng-Ping Fan , Ge-Peng Ji , Tao Zhou , Geng Chen , Huazhu Fu , Jianbing Shen , Ling Shao

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

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

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

Colonoscopy is the tool of choice for preventing Colorectal Cancer, by detecting and removing polyps before they become cancerous. However, colonoscopy is hampered by the fact that endoscopists routinely miss 22-28% of polyps. While some of…

Computer Vision and Pattern Recognition · Computer Science 2020-03-31 Daniel Freedman , Yochai Blau , Liran Katzir , Amit Aides , Ilan Shimshoni , Danny Veikherman , Tomer Golany , Ariel Gordon , Greg Corrado , Yossi Matias , Ehud Rivlin

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…

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

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

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

Objectives: Timely and accurate detection of colorectal polyps plays a crucial role in diagnosing and preventing colorectal cancer, a major cause of mortality worldwide. This study introduces a new, lightweight, and efficient framework for…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Saadat Behzadi , Danial Sharifrazi , Bita Mesbahzadeh , Javad Hassannataj Joloudari , Roohallah Alizadehsani

Colorectal cancer is the third most aggressive cancer worldwide. Polyps, as the main biomarker of the disease, are detected, localized, and characterized through colonoscopy procedures. Nonetheless, during the examination, up to 25% of…

Computer Vision and Pattern Recognition · Computer Science 2024-03-04 Lina Ruiz , Franklin Sierra-Jerez , Jair Ruiz , Fabio Martinez

Colonoscopy is the gold standard for examination and detection of colorectal polyps. Localization and delineation of polyps can play a vital role in treatment (e.g., surgical planning) and prognostic decision making. Polyp segmentation can…

Image and Video Processing · Electrical Eng. & Systems 2021-01-01 Nikhil Kumar Tomar , Debesh Jha , Sharib Ali , Håvard D. Johansen , Dag Johansen , Michael A. Riegler , Pål Halvorsen

Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps are benign, the polyp's number, size and surface structure are linked to the risk of colon cancer. Several methods have been developed to…

Computer-aided polyp detection (CADe) is becoming a standard, integral part of any modern colonoscopy system. A typical colonoscopy CADe detects a polyp in a single frame and does not track it through the video sequence. Yet, many…

Computer Vision and Pattern Recognition · Computer Science 2024-03-14 Yotam Intrator , Natalie Aizenberg , Amir Livne , Ehud Rivlin , Roman Goldenberg

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

The performance of imaging techniques has an important influence on the clinical diagnostic strategy of colorectal cancer. Linked color imaging (LCI) by laser endoscopy is a recently developed techniques, and its advantage in improving the…

Image and Video Processing · Electrical Eng. & Systems 2018-08-01 Xinran Wei , Jiyang Xie , Wenrui He , Min Min , Zhanyu Ma , Jun Guo

Colon cancer is expected to become the second leading cause of cancer death in the United States in 2023. Although colonoscopy is one of the most effective methods for early prevention of colon cancer, up to 30% of polyps may be missed by…

Computer Vision and Pattern Recognition · Computer Science 2023-12-15 Xiao Yang , Enmin Song , Guangzhi Ma , Yunfeng Zhu , Dongming Yu , Bowen Ding , Xianyuan Wang

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