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Effective and rapid detection of lesions in the Gastrointestinal tract is critical to gastroenterologist's response to some life-threatening diseases. Wireless Capsule Endoscopy (WCE) has revolutionized traditional endoscopy procedure by…

Computer Vision and Pattern Recognition · Computer Science 2021-01-19 Sodiq Adewole , Philip Fernandez , Michelle Yeghyayan , James Jablonski , Andrew Copland , Michael Porter , Sana Syed , Donald Brown

Wireless Capsule Endoscope (WCE) is an innovative imaging device that permits physicians to examine all the areas of the Gastrointestinal (GI) tract. It is especially important for the small intestine, where traditional invasive endoscopies…

Computer Vision and Pattern Recognition · Computer Science 2015-04-24 Isabel N. Figueiredo , Carlos Leal , Luís Pinto , Pedro N. Figueiredo , Richard Tsai

Real-time monitoring of the gastrointestinal tract in a safe and comfortable manner is valuable for the diagnosis and therapy of many diseases. Within this realm, our review captures the trends in ingestible capsule systems with a focus on…

Video capsule endoscopy has transformed gastrointestinal endoscopy (GIE) diagnostics by offering a non-invasive method for capturing detailed images of the gastrointestinal tract, enabling early disease detection. However, its potential is…

Computer Vision and Pattern Recognition · Computer Science 2024-12-12 Marcel Roth , Micha V. Nowak , Adrian Krenzer , Frank Puppe

Although wireless capsule endoscopy is the preferred modality for diagnosis and assessment of small bowel diseases, the poor camera resolution is a substantial limitation for both subjective and automated diagnostics. Enhanced-resolution…

As the number of people affected by diseases in the gastrointestinal system is ever-increasing, a higher demand on preventive screening is inevitable. This will significantly increase the workload on gastroenterologists. To help reduce the…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 Pål Anders Floor , Ivar Farup , Marius Pedersen

Colonoscopy is a standard imaging tool for visualizing the entire gastrointestinal (GI) tract of patients to capture lesion areas. However, it takes the clinicians excessive time to review a large number of images extracted from colonoscopy…

Computer Vision and Pattern Recognition · Computer Science 2021-08-09 Kaiwei Che , Chengwei Ye , Yibing Yao , Nachuan Ma , Ruo Zhang , Jiankun Wang , Max Q. -H. Meng

Examining and interpreting of a large number of wireless endoscopic images from the gastrointestinal tract is a tiresome task for physicians. A practical solution is to automatically construct a two dimensional representation of the…

Signal Processing · Electrical Eng. & Systems 2018-03-16 Rahman Attar , Xiang Xie , Zhihua Wang , Shigang Yue

In the last decade, many medical companies and research groups have tried to convert passive capsule endoscopes as an emerging and minimally invasive diagnostic technology into actively steerable endoscopic capsule robots which will provide…

Gastrointestinal (GI) diseases represent a significant global health concern, with Capsule Endoscopy (CE) offering a non-invasive method for diagnosis by capturing a large number of GI tract images. However, the sheer volume of video frames…

Image and Video Processing · Electrical Eng. & Systems 2024-10-28 Aniket Das , Ayushman Singh , Nishant , Sharad Prakash

In the gastrointestinal (GI) tract endoscopy field, ingestible wireless capsule endoscopy is emerging as a novel, minimally invasive diagnostic technology for inspection of the GI tract and diagnosis of a wide range of diseases and…

Computer Vision and Pattern Recognition · Computer Science 2017-05-19 Mehmet Turan , Yusuf Yigit Pilavci , Redhwan Jamiruddin , Helder Araujo , Ender Konukoglu , Metin Sitti

Reliable and real-time 3D reconstruction and localization functionality is a crucial prerequisite for the navigation of actively controlled capsule endoscopic robots as an emerging, minimally invasive diagnostic and therapeutic technology…

Endoscopy serves as an essential procedure for evaluating the gastrointestinal (GI) tract and plays a pivotal role in identifying GI-related disorders. Recent advancements in deep learning have demonstrated substantial progress in detecting…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Astitva Kamble , Vani Bandodkar , Saakshi Dharmadhikary , Veena Anand , Pradyut Kumar Sanki , Mei X. Wu , Biswabandhu Jana

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

Current capsule endoscopes and next-generation robotic capsules for diagnosis and treatment of gastrointestinal diseases are complex cyber-physical platforms that must orchestrate complex software and hardware functions. The desired tasks…

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

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

In the last decade, researchers and medical device companies have made major advances towards transforming passive capsule endoscopes into active medical robots. One of the major challenges is to endow capsule robots with accurate…

Robotics · Computer Science 2017-09-25 Mehmet Turan , Yasin Almalioglu , Hunter Gilbert , Alp Eren Sari , Ufuk Soylu , Metin Sitti

Temporal activity localization in long videos is an important problem. The cost of obtaining frame level label for long Wireless Capsule Endoscopy (WCE) videos is prohibitive. In this paper, we propose an end-to-end temporal abnormality…

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 gastrointestinal (GI) tract endoscopy field, ingestible wireless capsule endoscopy is considered as a minimally invasive novel diagnostic technology to inspect the entire GI tract and to diagnose various diseases and pathologies.…

Computer Vision and Pattern Recognition · Computer Science 2017-11-27 Mehmet Turan , Yasin Almalioglu , Helder Araujo , Ender Konukoglu , Metin Sitti