English
Related papers

Related papers: Automatic Estimation of Ulcerative Colitis Severit…

200 papers

Identifying unique polyps in colon capsule endoscopy (CCE) images is a critical yet challenging task for medical personnel due to the large volume of images, the cognitive load it creates for clinicians, and the ambiguity in labeling…

Computer Vision and Pattern Recognition · Computer Science 2026-01-22 Puneet Sharma , Kristian Dalsbø Hindberg , Eibe Frank , Benedicte Schelde-Olesen , Ulrik Deding

Gastrointestinal endoscopy is a medical procedure that utilizes a flexible tube equipped with a camera and other instruments to examine the digestive tract. This minimally invasive technique allows for diagnosing and managing various…

Computer Vision and Pattern Recognition · Computer Science 2023-07-13 Pham Vu Hung , Nguyen Duy Manh , Nguyen Thi Oanh , Nguyen Thi Thuy , Dinh Viet Sang

This paper presents a deep learning framework for the multi-class classification of gastrointestinal abnormalities in Video Capsule Endoscopy (VCE) frames. The aim is to automate the identification of ten GI abnormality classes, including…

Computer Vision and Pattern Recognition · Computer Science 2024-10-25 Aman Sagar , Preeti Mehta , Monika Shrivastva , Suchi Kumari

Acute and chronic wounds are a challenge to healthcare systems around the world and affect many people's lives annually. Wound classification is a key step in wound diagnosis that would help clinicians to identify an optimal treatment…

Computer Vision and Pattern Recognition · Computer Science 2021-06-07 Behrouz Rostami , D. M. Anisuzzaman , Chuanbo Wang , Sandeep Gopalakrishnan , Jeffrey Niezgoda , Zeyun Yu

Purpose. Early squamous cell neoplasia (ESCN) in the oesophagus is a highly treatable condition. Lesions confined to the mucosal layer can be curatively treated endoscopically. We build a computer-assisted detection (CADe) system that can…

Capsule endoscopy is an evolutional technique for examining and diagnosing intractable gastrointestinal diseases. Because of the huge amount of data, analyzing capsule endoscope videos is very time-consuming and labor-intensive for…

Computer Vision and Pattern Recognition · Computer Science 2021-04-08 Xinkai Zhao , Chaowei Fang , Feng Gao , De-Jun Fan , Xutao Lin , Guanbin Li

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

Colorectal diseases, including inflammatory conditions and neoplasms, require quick, accurate care to be effectively treated. Traditional diagnostic pipelines require extensive preparation and rely on separate, individual evaluations on…

Computer Vision and Pattern Recognition · Computer Science 2025-09-09 Krithik Ramesh , Ritvik Koneru

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

The escalating global mortality and morbidity rates associated with gastrointestinal (GI) bleeding, compounded by the complexities and limitations of traditional endoscopic methods, underscore the urgent need for a critical review of…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Tanisha Singh , Shreshtha Jha , Nidhi Bhatt , Palak Handa , Nidhi Goel , Sreedevi Indu

Objective: Surgical data science is evolving into a research field that aims to observe everything occurring within and around the treatment process to provide situation-aware data-driven assistance. In the context of endoscopic video…

Computer Vision and Pattern Recognition · Computer Science 2018-10-22 S. Moccia , S. J. Wirkert , H. Kenngott , A. S. Vemuri , M. Apitz , B. Mayer , E. De Momi , L. S. Mattos , L. Maier-Hein

Capsule endoscopy is a method to capture images of the gastrointestinal tract and screen for diseases which might remain hidden if investigated with standard endoscopes. Due to the limited size of a video capsule, embedding AI models…

Computer Vision and Pattern Recognition · Computer Science 2026-01-29 Julia Werner , Christoph Gerum , Jorg Nick , Maxime Le Floch , Franz Brinkmann , Jochen Hampe , Oliver Bringmann

Colorectal cancer (CRC) is a leading worldwide cause of cancer-related mortality, and the role of prompt precise detection is of paramount interest in improving patient outcomes. Conventional diagnostic methods such as colonoscopy and…

Image and Video Processing · Electrical Eng. & Systems 2025-10-29 Ovi Sarkar , Md Shafiuzzaman , Md. Faysal Ahamed , Golam Mahmud , Muhammad E. H. Chowdhury

Small intestinal capsule endoscopy is the mainstream method for inspecting small intestinal lesions,but a single small intestinal capsule endoscopy will produce 60,000 - 120,000 images, the majority of which are similar and have no…

Image and Video Processing · Electrical Eng. & Systems 2020-04-07 Rui Nie , Huan Yang , Hejuan Peng , Wenbin Luo , Weiya Fan , Jie Zhang , Jing Liao , Fang Huang , Yufeng Xiao

Endoscopy is a routine imaging technique used for both diagnosis and minimally invasive surgical treatment. While the endoscopy video contains a wealth of information, tools to capture this information for the purpose of clinical reporting…

Computer Vision and Pattern Recognition · Computer Science 2019-05-14 Sharib Ali , Jens Rittscher

Data-driven methods have shown tremendous progress in medical image analysis. In this context, deep learning-based supervised methods are widely popular. However, they require a large amount of training data and face issues in…

Computer Vision and Pattern Recognition · Computer Science 2023-06-02 Ziang Xu , Jens Rittscher , Sharib Ali

Purpose: Surgical scene understanding plays a critical role in the technology stack of tomorrow's intervention-assisting systems in endoscopic surgeries. For this, tracking the endoscope pose is a key component, but remains challenging due…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Michel Hayoz , Christopher Hahne , Mathias Gallardo , Daniel Candinas , Thomas Kurmann , Maximilian Allan , Raphael Sznitman

Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the oral epithelium. Despite their high impact on mortality, sufficient screening methods for early diagnosis of OSCC often lack accuracy and thus OSCCs are mostly diagnosed…

Computer Vision and Pattern Recognition · Computer Science 2017-09-21 Marc Aubreville , Christian Knipfer , Nicolai Oetter , Christian Jaremenko , Erik Rodner , Joachim Denzler , Christopher Bohr , Helmut Neumann , Florian Stelzle , Andreas Maier

Purpose: The gold standard for colorectal cancer metastases detection in the peritoneum is histological evaluation of a removed tissue sample. For feedback during interventions, real-time in-vivo imaging with confocal laser microscopy has…

Computer Vision and Pattern Recognition · Computer Science 2019-05-28 Nils Gessert , Marcel Bengs , Lukas Wittig , Daniel Drömann , Tobias Keck , Alexander Schlaefer , David B. Ellebrecht

Endoscopy provides a major contribution to the diagnosis of the Gastrointestinal Tract (GIT) diseases. With Colon Endoscopy having its certain limitations, Wireless Capsule Endoscopy is gradually taking over it in the terms of ease and…

Image and Video Processing · Electrical Eng. & Systems 2020-09-03 Vanshika Vats , Pooja Goel , Amodini Agarwal , Nidhi Goel