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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 polyps are important precursors to colon cancer, the third most common cause of cancer mortality for both men and women. It is a disease where early detection is of crucial importance. Colonoscopy is commonly used for early…

Computer Vision and Pattern Recognition · Computer Science 2019-11-25 Ahmed Mohammed , Sule Yildirim , Ivar Farup , Marius Pedersen , Øistein Hovde

Colorectal cancer, largely arising from precursor lesions called polyps, remains one of the leading causes of cancer-related death worldwide. Current clinical standards require the resection and histopathological analysis of polyps due to…

Image and Video Processing · Electrical Eng. & Systems 2020-01-13 Rodney LaLonde , Pujan Kandel , Concetto Spampinato , Michael B. Wallace , Ulas Bagci

Early detection, accurate segmentation, classification and tracking of polyps during colonoscopy are critical for preventing colorectal cancer. Many existing deep-learning-based methods for analyzing colonoscopic videos either require…

Computer Vision and Pattern Recognition · Computer Science 2025-04-04 Anwesa Choudhuri , Zhongpai Gao , Meng Zheng , Benjamin Planche , Terrence Chen , Ziyan Wu

Wireless Capsule Endoscopy(WCE) has been widely used for the screening of gastrointestinal(GI) diseases, especially the small intestine, due to its advantages of non-invasive and painless imaging of the entire digestive tract.However, the…

Image and Video Processing · Electrical Eng. & Systems 2022-04-05 Zhuo Falin , Liu Haihua , Pan Ning

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

This work is corresponding to the Gastro Competition for multi-label classification from capsule endoscopic videos (CEV). Deep learning network based on Transformers are fined-tune for this task. The based online mode is Google Vision…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 X. Gao , C. Chien , G. Liu , A. Manullang

Colonoscopy is the primary method for examination, detection, and removal of polyps. However, challenges such as variations among the endoscopists' skills, bowel quality preparation, and the complex nature of the large intestine contribute…

Endoscopic examinations are used to inspect the throat, stomach and bowel for polyps which could develop into cancer. Machine learning systems can be trained to process colonoscopy images and detect polyps. However, these systems tend to…

Computer Vision and Pattern Recognition · Computer Science 2020-11-02 Daniel C. Ohrenstein , Patrick Brandao , Daniel Toth , Laurence Lovat , Danail Stoyanov , Peter Mountney

Video Capsule Endoscopy (VCE) is currently one of the most effective methods for detecting intestinal diseases. However, it is challenging to detect early-stage small nodules with this method because they lack obvious color or shape…

Systems and Control · Electrical Eng. & Systems 2024-12-11 Yukun Ge , Rui Zong , Xiaoshuai Zhang , Thrishantha Nanayakkara

Current polyp detection methods from colonoscopy videos use exclusively normal (i.e., healthy) training images, which i) ignore the importance of temporal information in consecutive video frames, and ii) lack knowledge about the polyps.…

Computer Vision and Pattern Recognition · Computer Science 2022-05-19 Yu Tian , Guansong Pang , Fengbei Liu , Yuyuan Liu , Chong Wang , Yuanhong Chen , Johan W Verjans , Gustavo Carneiro

Accurate segmentation of polyps in colonoscopy images is essential for early-stage diagnosis and management of colorectal cancer. Despite advancements in deep learning for polyp segmentation, enduring limitations persist. The edges of…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Mengqi Lei , Xin Wang

Physicians use Capsule Endoscopy (CE) as a non-invasive and non-surgical procedure to examine the entire gastrointestinal (GI) tract for diseases and abnormalities. A single CE examination could last between 8 to 11 hours generating up to…

Computer Vision and Pattern Recognition · Computer Science 2021-10-19 Sodiq Adewole , Philip Fernandes , James Jablonski , Andrew Copland , Michael Porter , Sana Syed , Donald Brown

In the realm of modern diagnostic technology, video capsule endoscopy (VCE) is a standout for its high efficacy and non-invasive nature in diagnosing various gastrointestinal (GI) conditions, including obscure bleeding. Importantly, for the…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Hechen Li , Yanan Wu , Long Bai , An Wang , Tong Chen , Hongliang Ren

Wireless capsule endoscopy (WCE) is an effective mean for diagnosis of gastrointestinal disorders. Detection of informative scenes in WCE video could reduce the length of transmitted videos and help the diagnosis procedure. In this paper,…

Computer Vision and Pattern Recognition · Computer Science 2018-08-24 Mohsen Hajabdollahi , Reza Esfandiarpoor , Pejman Khadivi , S. M. Reza Soroushmehr , Nader Karimi , Kayvan Najarian , Shadrokh Samavi

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

Colonoscopic Polyp Re-Identification aims to match a specific polyp in a large gallery with different cameras and views, which plays a key role for the prevention and treatment of colorectal cancer in the computer-aided diagnosis. However,…

Computer Vision and Pattern Recognition · Computer Science 2023-07-21 Suncheng Xiang , Cang Liu , Sijia Du , Dahong Qian

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…

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

Video capsule endoscopy is a hot topic in computer vision and medicine. Deep learning can have a positive impact on the future of video capsule endoscopy technology. It can improve the anomaly detection rate, reduce physicians' time for…

Image and Video Processing · Electrical Eng. & Systems 2022-06-17 Abhishek Srivastava , Nikhil Kumar Tomar , Ulas Bagci , Debesh Jha