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Related papers: Frontiers in Intelligent Colonoscopy

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In this study, we present Colon-X, an open initiative aimed at advancing multimodal intelligence in colonoscopy. We begin by constructing ColonVQA, the most comprehensive multimodal dataset ever built for colonoscopy, featuring over 1.1M+…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Ge-Peng Ji , Jingyi Liu , Deng-Ping Fan , Huazhu Fu , Nick Barnes

Colorectal cancer (CRC) ranks as the second leading cause of cancer-related deaths and the third most prevalent malignant tumour worldwide. Early detection of CRC remains problematic due to its non-specific and often embarrassing symptoms,…

Machine Learning · Computer Science 2025-04-25 Natalia Sikora , Robert L. Manschke , Alethea M. Tang , Peter Dunstan , Dean A. Harris , Su Yang

Colorectal cancer screening critically depends on colonoscopy, yet existing platforms offer limited support for systematically studying the coupled dynamics of operator control, instrument motion, and visual feedback. This gap restricts…

The task of multimodal cancer detection is to determine the locations and categories of lesions by using different imaging techniques, which is one of the key research methods for cancer diagnosis. Recently, deep learning-based object…

Image and Video Processing · Electrical Eng. & Systems 2023-12-06 Yan Tian , Zhaocheng Xu , Yujun Ma , Weiping Ding , Ruili Wang , Zhihong Gao , Guohua Cheng , Linyang He , Xuran Zhao

Desktop-based virtual colonoscopy has been proven to be an asset in the identification of colon anomalies. The process is accurate, although time-consuming. The use of immersive interfaces for virtual colonoscopy is incipient and not yet…

Human-Computer Interaction · Computer Science 2023-05-05 João Serras , Anderson Maciel , Soraia Paulo , Andrew Duchowski , Regis Kopper , Catarina Moreira , Joaquim Jorge

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

While AI-assisted colonoscopy promises improved colorectal cancer screening, its success relies on effective integration into clinical practice, not just algorithmic accuracy. This paper, based on an Australian field study (observations and…

Human-Computer Interaction · Computer Science 2025-03-28 Hsiang-Ting Chen , Yuan Zhang , Gustavo Carneiro , Rajvinder Singh

In recent years, colorectal cancer has become one of the most significant diseases that endanger human health. Deep learning methods are increasingly important for the classification of colorectal histopathology images. However, existing…

Computer Vision and Pattern Recognition · Computer Science 2022-06-08 Haoyuan Chen , Chen Li , Xiaoyan Li , Md Mamunur Rahaman , Weiming Hu , Yixin Li , Wanli Liu , Changhao Sun , Hongzan Sun , Xinyu Huang , Marcin Grzegorzek

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

This paper describes the field research, design and comparative deployment of a multimodal medical imaging user interface for breast screening. The main contributions described here are threefold: 1) The design of an advanced visual…

Human-Computer Interaction · Computer Science 2020-06-02 Francisco Maria Calisto , Nuno Jardim Nunes , Jacinto Carlos Nascimento

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

Colorectal cancer (CRC) remains a leading cause of cancer-related deaths worldwide, with polyp removal being an effective early screening method. However, navigating the colon for thorough polyp detection poses significant challenges. To…

Computer Vision and Pattern Recognition · Computer Science 2024-12-23 Xinwei Ju , Rema Daher , Razvan Caramalau , Baoru Huang , Danail Stoyanov , Francisco Vasconcelos

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) is one of the most common types of cancer with a high mortality rate. Colonoscopy is the preferred procedure for CRC screening and has proven to be effective in reducing CRC mortality. Thus, a reliable computer-aided…

Computer Vision and Pattern Recognition · Computer Science 2021-09-15 Kaidong Li , Mohammad I. Fathan , Krushi Patel , Tianxiao Zhang , Cuncong Zhong , Ajay Bansal , Amit Rastogi , Jean S. Wang , Guanghui Wang

Lung and colon cancer are serious worldwide health challenges that require early and precise identification to reduce mortality risks. However, diagnosis, which is mostly dependent on histopathologists' competence, presents difficulties and…

Image and Video Processing · Electrical Eng. & Systems 2024-05-15 Mukaffi Bin Moin , Fatema Tuj Johora Faria , Swarnajit Saha , Busra Kamal Rafa , Mohammad Shafiul Alam

Colorectal polyps are generally benign alterations that, if not identified promptly and managed successfully, can progress to cancer and cause affectations on the colon mucosa, known as adenocarcinoma. Today advances in Deep Learning have…

Image and Video Processing · Electrical Eng. & Systems 2025-01-22 Daniela L. Ramos , Hector J. Hortua

Histological evaluation of tissue samples is a typical approach to identify colorectal cancer metastases in the peritoneum. For immediate assessment, reliable and real-time in-vivo imaging would be required. For example, intraoperative…

Computer Vision and Pattern Recognition · Computer Science 2019-03-07 Nils Gessert , Lukas Wittig , Daniel Drömann , Tobias Keck , Alexander Schlaefer , David B. Ellebrecht

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

Colonic polyps are well-recognized precursors to colorectal cancer (CRC), typically detected during colonoscopy. However, the variability in appearance, location, and size of these polyps complicates their detection and removal, leading to…

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…

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