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Spatial computer vision techniques have the potential to improve the diagnostic performance of colonoscopy. However, the lack of 3D colonoscopy datasets for training and validation hinders their development. This paper introduces C3VDv2,…

Image and Video Processing · Electrical Eng. & Systems 2025-09-12 Mayank V. Golhar , Lucas Sebastian Galeano Fretes , Loren Ayers , Venkata S. Akshintala , Taylor L. Bobrow , Nicholas J. Durr

Deep learning has shown excellent performance in analysing medical images. However, datasets are difficult to obtain due privacy issues, standardization problems, and lack of annotations. We address these problems by producing realistic…

Computer Vision and Pattern Recognition · Computer Science 2023-07-24 Enric Moreu , Eric Arazo , Kevin McGuinness , Noel E. O'Connor

Accurate detection of polyps is of critical importance for the early and intermediate stages of colorectal cancer diagnosis. Compared to static images, dynamic colonoscopy videos provide more comprehensive visual information, which can…

Computer Vision and Pattern Recognition · Computer Science 2025-08-06 Zilin Chen , Shengnan Lu

Early identification of a polyp in the lower gastrointestinal (GI) tract can lead to prevention of life-threatening colorectal cancer. Developing computer-aided diagnosis (CAD) systems to detect polyps can improve detection accuracy and…

Image and Video Processing · Electrical Eng. & Systems 2022-06-01 Jan Andre Fagereng , Vajira Thambawita , Andrea M. Storås , Sravanthi Parasa , Thomas de Lange , Pål Halvorsen , Michael A. Riegler

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

Integrating real-time artificial intelligence (AI) systems in clinical practices faces challenges such as scalability and acceptance. These challenges include data availability, biased outcomes, data quality, lack of transparency, and…

Image and Video Processing · Electrical Eng. & Systems 2023-08-21 Debesh Jha , Vanshali Sharma , Neethi Dasu , Nikhil Kumar Tomar , Steven Hicks , M. K. Bhuyan , Pradip K. Das , Michael A. Riegler , Pål Halvorsen , Ulas Bagci , Thomas de Lange

Colorectal cancer (CRC), a lethal disease, begins with the growth of abnormal mucosal cell proliferation called polyps in the inner wall of the colon. When left undetected, polyps can become malignant tumors. Colonoscopy is the standard…

Computer Vision and Pattern Recognition · Computer Science 2025-09-24 Siddharth Gupta , Jitin Singla

Virtual colonoscopy (VC) allows a physician to virtually navigate within a reconstructed 3D colon model searching for colorectal polyps. Though VC is widely recognized as a highly sensitive and specific test for identifying polyps, one…

Human-Computer Interaction · Computer Science 2017-07-26 Ji Hwan Park , Seyedkoosha Mirhosseini , Saad Nadeem , Joseph Marino , Arie Kaufman , Kevin Baker , Matthew Barish

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 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

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

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

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…

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 one of the most common cancers in the world. While colonoscopy is an effective screening technique, navigating an endoscope through the colon to detect polyps is challenging. A 3D map of the observed surfaces could…

Colorectal cancer screening through colonoscopy continues to be the dominant global standard, as it allows identifying pre-cancerous or adenomatous lesions and provides the ability to remove them during the procedure itself. Nevertheless,…

Computer Vision and Pattern Recognition · Computer Science 2023-06-08 Netanel Frank , Erez Posner , Emmanuelle Muhlethaler , Adi Zholkover , Moshe Bouhnik

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

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

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 causes of cancer and cancer-related mortality worldwide. Performing colon cancer screening in a timely fashion is the key to early detection. Colonoscopy is the primary modality used to…

Image and Video Processing · Electrical Eng. & Systems 2022-06-22 Nikhil Kumar Tomar , Annie Shergill , Brandon Rieders , Ulas Bagci , Debesh Jha