Results 21 to 30 of about 582 (150)
Design of a Compact Circularly Polarized Implantable Antenna for Capsule Endoscopy Systems [PDF]
This research proposes a miniature circular polarization antenna used in a wireless capsule endoscopy system at 2.45 GHz for industrial, scientific, and medical bands.
Zhiwei Song +3 more
doaj +2 more sources
Pixel-wise annotation for clear and contaminated regions segmentation in wireless capsule endoscopy images: A multicentre database [PDF]
Wireless capsule endoscopy (WCE) is capable of non-invasively visualizing the small intestine, the most complicated segment of the gastrointestinal tract, to detect different types of abnormalities. However, its main drawback is reviewing the vast number
Vahid Sadeghi +7 more
doaj +2 more sources
Medical image segmentation using deep learning: A survey
Abstract Deep learning has been widely used for medical image segmentation and a large number of papers has been presented recording the success of deep learning in the field. A comprehensive thematic survey on medical image segmentation using deep learning techniques is presented. This paper makes two original contributions.
Risheng Wang +5 more
wiley +1 more source
Background: Wireless capsule endoscopy (WCE) is an effective, minimally invasive tool used for evaluation of the small intestine. To date, there are no studies evaluating the diagnostic yield of WCE in patients with surgically altered upper ...
Eric Sellers, Andrew Brock
doaj +1 more source
Wireless capsule endoscopy (WCE) is a modern, non-invasive method of gastrointestinal examination that can significantly reduce mortality and morbidity. One of the current challenges in WCE is the precise localization of the capsule.
Yana A. Salchak +7 more
doaj +1 more source
Dense Convolutional Network and Its Application in Medical Image Analysis
Dense convolutional network (DenseNet) is a hot topic in deep learning research in recent years, which has good applications in medical image analysis. In this paper, DenseNet is summarized from the following aspects. First, the basic principle of DenseNet is introduced; second, the development of DenseNet is summarized and analyzed from five aspects ...
Tao Zhou +6 more
wiley +1 more source
Multichannel Residual Cues for Fine-Grained Classification in Wireless Capsule Endoscopy
Early diagnosis of gastrointestinal pathologies leads to timely medical intervention and prevents disease development. Wireless Capsule Endoscopy (WCE) is used as a non-invasive alternative for gastrointestinal examination. WCE can capture images despite
Anuja Vats +3 more
doaj +1 more source
Aim. As the completed studies have small sample sizes and different algorithms, a meta‐analysis was conducted to assess the accuracy of WCE in identifying polyps using deep learning. Method. Two independent reviewers searched PubMed, Embase, the Web of Science, and the Cochrane Library for potentially eligible studies published up to December 8, 2021 ...
Junjie Mi +5 more
wiley +1 more source
Ulcer detection in Wireless Capsule Endoscopy images using deep CNN
Wireless Capsule Endoscopy (WCE) has been widely accepted due to its painless method of imaging the entire gastrointestinal tract. In this paper, we propose deep Convolutional Neural Network(CNN) for automatic discrimination of ulcers on different ratios
Vani V, K.V. Mahendra Prashanth
doaj +1 more source
A Locomotion Control Platform With Dynamic Electromagnetic Field for Active Capsule Endoscopy
Conventional radiological and endoscopic techniques utilizing long tubes were ineffective in visualizing the small bowel mucosa until the development of wireless capsule endoscopy (WCE).
Fahad N. Alsunaydih +2 more
doaj +1 more source

