A systematic review on diagnosis and treatment of gastrointestinal diseases by magnetically controlled capsule endoscopy and artificial intelligence

X Wang, X Hu, Y Xu, J Yong, X Li… - Therapeutic …, 2023 - journals.sagepub.com
Background: Magnetically controlled capsule endoscopy (MCCE) is a non-invasive,
painless, comfortable, and safe equipment to diagnose gastrointestinal diseases (GID) …

Gastrointestinal diseases segmentation and classification based on duo-deep architectures

MA Khan, MA Khan, F Ahmed, M Mittal… - Pattern Recognition …, 2020 - Elsevier
Nowadays, almost one million gastrointestinal patients are successfully treated by Wireless
Capsule Endoscopy (WCE). It is the latest technology in the area of medical imaging for the …

Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network

H Saito, T Aoki, K Aoyama, Y Kato, A Tsuboi… - Gastrointestinal …, 2020 - Elsevier
Background and Aims Protruding lesions of the small bowel vary in wireless capsule
endoscopy (WCE) images, and their automatic detection may be difficult. We aimed to …

Optical color routing enabled by deep learning

S Xiong, X Yang - Nanoscale, 2024 - pubs.rsc.org
Nano-color routing has emerged as an immensely popular and widely discussed subject in
the realms of light field manipulation, image sensing, and the integration of deep learning …

Recurrent generative adversarial networks for unsupervised WCE video summarization

L Lan, C Ye - Knowledge-Based Systems, 2021 - Elsevier
Wireless capsule endoscopy (WCE) produces amounts of redundant images in one
examination, which is very laborious and time-consuming for a physician to review these. It …

Development and verification of a deep learning algorithm to evaluate small-bowel preparation quality

JH Nam, DJ Oh, S Lee, HJ Song, YJ Lim - Diagnostics, 2021 - mdpi.com
Capsule endoscopy (CE) quality control requires an objective scoring system to evaluate the
preparation of the small bowel (SB). We propose a deep learning algorithm to calculate SB …

De-redundancy in wireless capsule endoscopy video sequences using correspondence matching and motion analysis

L Lan, C Ye, C Liao, C Wang, X Feng - Multimedia Tools and Applications, 2024 - Springer
Handling wireless capsule endoscopy (WCE) de-redundancy is a challenging task. This
paper proposes a scheme, called SS-VCF-Der, to consider applying a flow field estimation …

Reducing reading time and assessing disease in capsule endoscopy videos: a deep learning approach

L Pinto, IN Figueiredo, PN Figueiredo - International Journal of Medical …, 2025 - Elsevier
Background The wireless capsule endoscope (CE) is a valuable diagnostic tool in
gastroenterology, offering a safe and minimally invasive visualization of the gastrointestinal …

Integrated system for automatic detection of representative video frames in wireless capsule endoscopy using adaptive sliding window singular value decomposition

A Biniaz, F Abdolali, RA Zoroofi - IET Image Processing, 2020 - Wiley Online Library
Wireless capsule endoscopy (WCE) is a non‐invasive diagnosis method that allows
recording a video as the capsule travels through the gastrointestinal (GI) tract. The practical …

Application of structural similarity analysis of visually salient areas and hierarchical clustering in the screening of similar wireless capsule endoscopic images

R Nie, H Yang, H Peng, W Luo, W Fan… - 2020 2nd …, 2020 - ieeexplore.ieee.org
Small intestinal capsule endoscopy is the mainstream method for inspecting small intestinal
lesions, but a single small intestinal capsule endoscopy will produce 40,000–120,000 …