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Accurate detection of colorectal cancer and early prevention heavily rely on precise polyp identification during gastrointestinal colonoscopy. Due to limited data, many current state-of-the-art deep learning methods for polyp segmentation…

Image and Video Processing · Electrical Eng. & Systems 2024-05-31 Ankush Gajanan Arudkar , Bernard J. E. Evans

Colorectal Cancer(CRC) poses a great risk to public health. It is the third most common cause of cancer in the US. Development of colorectal polyps is one of the earliest signs of cancer. Early detection and resection of polyps can greatly…

Image and Video Processing · Electrical Eng. & Systems 2021-10-19 Debayan Bhattacharya , Christian Betz , Dennis Eggert , Alexander Schlaefer

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

Multi-centre colonoscopy images from various medical centres exhibit distinct complicating factors and overlays that impact the image content, contingent on the specific acquisition centre. Existing Deep Segmentation networks struggle to…

Image and Video Processing · Electrical Eng. & Systems 2023-08-31 Valentina Corbetta , Regina Beets-Tan , Wilson Silva

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

Colorectal cancer (CRC) is a major global cause of cancer-related deaths, with early polyp detection and removal during colonoscopy being crucial for prevention. While deep learning methods have shown promise in polyp segmentation,…

Computer Vision and Pattern Recognition · Computer Science 2026-02-04 Fiseha B. Tesema , Alejandro Guerra Manzanares , Tianxiang Cui , Qian Zhang , Moses Solomon , Sean He

Colonoscopy is still the main method of detection and segmentation of colonic polyps, and recent advancements in deep learning networks such as U-Net, ResUNet, Swin-UNet, and PraNet have made outstanding performance in polyp segmentation.…

Image and Video Processing · Electrical Eng. & Systems 2025-08-14 Madan Baduwal

Colorectal cancer is among the most common cause of cancer worldwide. Removal of precancerous polyps through early detection is essential to prevent them from progressing to colon cancer. We develop an advanced deep learning-based…

Image and Video Processing · Electrical Eng. & Systems 2024-05-02 Debesh Jha , Nikhil Kumar Tomar , Debayan Bhattacharya , Ulas Bagci

Colorectal cancer is one of the common cancers in the United States. Polyp is one of the main causes of the colonic cancer and early detection of polyps will increase chance of cancer treatments. In this paper, we propose a novel…

Image and Video Processing · Electrical Eng. & Systems 2018-02-06 Mojtaba Akbari , Majid Mohrekesh , Shima Rafiei , S. M. Reza Soroushmehr , Nader Karimi , Shadrokh Samavi , Kayvan Najarian

Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps. However, detecting polyps during the live examination can be challenging due to various…

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

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

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

Detection and diagnosis of colon polyps are key to preventing colorectal cancer. Recent evidence suggests that AI-based computer-aided detection (CADe) and computer-aided diagnosis (CADx) systems can enhance endoscopists' performance and…

Image and Video Processing · Electrical Eng. & Systems 2024-03-05 Carlo Biffi , Giulio Antonelli , Sebastian Bernhofer , Cesare Hassan , Daizen Hirata , Mineo Iwatate , Andreas Maieron , Pietro Salvagnini , Andrea Cherubini

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

Colorectal cancer is the fourth leading cause of cancer deaths worldwide and the second leading cause in the United States. The risk of colorectal cancer can be mitigated by the identification and removal of premalignant lesions through…

Computer Vision and Pattern Recognition · Computer Science 2017-11-29 Faisal Mahmood , Nicholas J. Durr

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

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

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