[HTML][HTML] Artificial intelligence in gastroenterology: A state-of-the-art review
PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021 - ncbi.nlm.nih.gov
The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …
with clinical applications progressively being explored for most of the medical specialties …
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 …
Primate brain pattern-based automated Alzheimer's disease detection model using EEG signals
Electroencephalography (EEG) may detect early changes in Alzheimer's disease (AD), a
debilitating progressive neurodegenerative disease. We have developed an automated AD …
debilitating progressive neurodegenerative disease. We have developed an automated AD …
Artificial intelligence in small bowel capsule endoscopy‐current status, challenges and future promise
X Dray, D Iakovidis, C Houdeville… - Journal of …, 2021 - Wiley Online Library
Neural network‐based solutions are under development to alleviate physicians from the
tedious task of small‐bowel capsule endoscopy reviewing. Computer‐assisted detection is a …
tedious task of small‐bowel capsule endoscopy reviewing. Computer‐assisted detection is a …
Wireless capsule endoscopy: A new tool for cancer screening in the colon with deep-learning-based polyp recognition
Accurate recognition of polyps is crucial for early colorectal cancer diagnosis and treatment.
Wireless capsule endoscopy (WCE) is a noninvasive, wireless imaging tool that allows …
Wireless capsule endoscopy (WCE) is a noninvasive, wireless imaging tool that allows …
Stomach deformities recognition using rank-based deep features selection
Doctor utilizes various kinds of clinical technologies like MRI, endoscopy, CT scan, etc., to
identify patient's deformity during the review time. Among set of clinical technologies …
identify patient's deformity during the review time. Among set of clinical technologies …
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 …
Deep learning based image classification for intestinal hemorrhage
Convolutional neural networks (CNN) have become a popular choice for image
segmentation and classification. Internal body images are obscure in nature with …
segmentation and classification. Internal body images are obscure in nature with …
Artificial intelligence-based diagnosis of abnormalities in small-bowel capsule endoscopy
Z Ding, H Shi, H Zhang, H Zhang, S Tian, K Zhang… - …, 2023 - thieme-connect.com
Background Further development of deep learning-based artificial intelligence (AI)
technology to automatically diagnose multiple abnormalities in small-bowel capsule …
technology to automatically diagnose multiple abnormalities in small-bowel capsule …