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 …
Multi-scale hybrid network for polyp detection in wireless capsule endoscopy and colonoscopy images
M Souaidi, M El Ansari - Diagnostics, 2022 - mdpi.com
The trade-off between speed and precision is a key step in the detection of small polyps in
wireless capsule endoscopy (WCE) images. In this paper, we propose a hybrid network of …
wireless capsule endoscopy (WCE) images. In this paper, we propose a hybrid network of …
Computer-aided system for bleeding detection in wce images based on cnn-gru network
Wireless capsule endoscopy (WCE) is a non-invasive video technique used to investigate
gastrointestinal diseases such as hemorrhage, ulcer, and polyp. Automatic detection …
gastrointestinal diseases such as hemorrhage, ulcer, and polyp. Automatic detection …
Detection of abnormalities in wireless capsule endoscopy based on extreme learning machine
Wireless capsule endoscopy (WCE) is a device that can move through human body and
capture the small bowel entirely. Thus, it is presented as an excellent diagnostic tool for …
capture the small bowel entirely. Thus, it is presented as an excellent diagnostic tool for …
Bleeding classification in wireless capsule endoscopy images based on inception-resnet-v2 and cnns
Wireless capsule endoscopy (WCE) is a technology that captures images of the digestive
tract with a pill-sized camera. Capsule endoscopies are used to exclude or diagnose …
tract with a pill-sized camera. Capsule endoscopies are used to exclude or diagnose …
A new automated polyp detection network MP-FSSD in WCE and colonoscopy images based fusion single shot multibox detector and transfer learning
M Souaidi, M El Ansari - IEEE access, 2022 - ieeexplore.ieee.org
Small polyp region detection in wireless capsule endoscopy (WCE) images is a challenging
task in computer vision owing to two major problems: its variation in terms of shape, texture …
task in computer vision owing to two major problems: its variation in terms of shape, texture …
A shallow extraction of texture features for classification of abnormal video endoscopy frames
H Ali, M Sharif, M Yasmin, MH Rehmani - Biomedical Signal Processing …, 2022 - Elsevier
Automated analysis of the gastric lesions in endoscopy videos is a challenging task and
dynamics of the gastrointestinal environment make it even more difficult. In computer-aided …
dynamics of the gastrointestinal environment make it even more difficult. In computer-aided …
Advancements in Polyp Detection: A Developed Single Shot Multibox Detector Approach
The significant challenge in detecting polyps in wireless capsule endoscopy and
colonoscopy images lies in identifying the small ones. This detection task exhibits variability …
colonoscopy images lies in identifying the small ones. This detection task exhibits variability …
Deep Learning Based Gastro Intestinal Disease Analysis Using Wireless Capsule Endoscopy Images
Accurate detection of gastrointestinal illnesses is decisive for early cancer diagnosis and its
treatment. However, manual analysis is time-consuming and requires a professional …
treatment. However, manual analysis is time-consuming and requires a professional …