A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in wireless capsule endoscopy imaging

T Rahim, MA Usman, SY Shin - Computerized Medical Imaging and …, 2020 - Elsevier
Wireless capsule endoscopy (WCE) is a process in which a patient swallows a camera-
embedded pill-shaped device that passes through the gastrointestinal (GI) tract, captures …

Recent advances in applying machine learning and deep learning to detect upper gastrointestinal tract lesions

M Vania, BA Tama, H Maulahela, S Lim - IEEE Access, 2023 - ieeexplore.ieee.org
The clinical application of a real-time artificial intelligence (AI) image processing system to
diagnose upper gastrointestinal (GI) malignancies remains an experimental research and …

Attention aware deep learning model for wireless capsule endoscopy lesion classification and localization

P Muruganantham, SM Balakrishnan - Journal of Medical and Biological …, 2022 - Springer
Purpose Wireless capsule endoscopy (WCE) is a fundamental diagnosing tool for gastro-
intestinal (GI) lesion detection. Detecting and locating the lesions in WCE images using a …

Semi-supervised WCE image classification with adaptive aggregated attention

X Guo, Y Yuan - Medical Image Analysis, 2020 - Elsevier
Accurate abnormality classification in Wireless Capsule Endoscopy (WCE) images is crucial
for early gastrointestinal (GI) tract cancer diagnosis and treatment, while it remains …

Zoom in lesions for better diagnosis: Attention guided deformation network for wce image classification

X Xing, Y Yuan, MQH Meng - IEEE Transactions on Medical …, 2020 - ieeexplore.ieee.org
Wireless capsule endoscopy (WCE) is a novel imaging tool that allows noninvasive
visualization of the entire gastrointestinal (GI) tract without causing discomfort to patients …

[HTML][HTML] A survey on deep learning models for wireless capsule endoscopy image analysis

P Muruganantham, SM Balakrishnan - International Journal of Cognitive …, 2021 - Elsevier
Abstract Abdomen Bleeding, Ulcer, Tumour, Crohn's disease, Celiac disease and other
diseases in the gastrointestinal tract (GI) are difficult to diagnose, due to the inescapable …

DSI-Net: Deep synergistic interaction network for joint classification and segmentation with endoscope images

M Zhu, Z Chen, Y Yuan - IEEE Transactions on Medical Imaging, 2021 - ieeexplore.ieee.org
Automatic classification and segmentation of wireless capsule endoscope (WCE) images
are two clinically significant and relevant tasks in a computer-aided diagnosis system for …

Adaptive aggregation with self‐attention network for gastrointestinal image classification

S Li, J Cao, J Yao, J Zhu, X He, Q Jiang - IET Image Processing, 2022 - Wiley Online Library
Automatic classification of diseases in endoscopic images is essential to the improvement of
diagnostic performance and the reduction of colorectal cancer mortality. However, due to the …

WCE‐DCGAN: A data augmentation method based on wireless capsule endoscopy images for gastrointestinal disease detection

Z Xiao, J Lu, X Wang, N Li, Y Wang… - IET Image …, 2023 - Wiley Online Library
Wireless capsule endoscopy (WCE) is becoming more popular in clinical settings as a safe
and painless gastrointestinal examination. Existing studies on automatic detection of lesions …

Computer-Aided Bleeding Detection Algorithms for Capsule Endoscopy: A Systematic Review

A Musha, R Hasnat, AA Mamun, EP Ping, T Ghosh - Sensors, 2023 - mdpi.com
Capsule endoscopy (CE) is a widely used medical imaging tool for the diagnosis of
gastrointestinal tract abnormalities like bleeding. However, CE captures a huge number of …