A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in wireless capsule endoscopy imaging
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 …
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
The clinical application of a real-time artificial intelligence (AI) image processing system to
diagnose upper gastrointestinal (GI) malignancies remains an experimental research and …
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 …
intestinal (GI) lesion detection. Detecting and locating the lesions in WCE images using a …
Semi-supervised WCE image classification with adaptive aggregated attention
Accurate abnormality classification in Wireless Capsule Endoscopy (WCE) images is crucial
for early gastrointestinal (GI) tract cancer diagnosis and treatment, while it remains …
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
Wireless capsule endoscopy (WCE) is a novel imaging tool that allows noninvasive
visualization of the entire gastrointestinal (GI) tract without causing discomfort to patients …
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 …
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
Automatic classification and segmentation of wireless capsule endoscope (WCE) images
are two clinically significant and relevant tasks in a computer-aided diagnosis system for …
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 …
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 …
and painless gastrointestinal examination. Existing studies on automatic detection of lesions …
Computer-Aided Bleeding Detection Algorithms for Capsule Endoscopy: A Systematic Review
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 …
gastrointestinal tract abnormalities like bleeding. However, CE captures a huge number of …