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Artificial intelligence in gastroenterology: A state-of-the-art review
PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021 - pmc.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 …
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 …
Artificial intelligence in small bowel capsule endoscopy‐current status, challenges and future promise
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 …
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 …
Multi-classification deep learning models for detection of ulcerative colitis, polyps, and dyed-lifted polyps using wireless capsule endoscopy images
Wireless capsule endoscopy (WCE) enables imaging and diagnostics of the gastrointestinal
(GI) tract to be performed without any discomfort. Despite this, several characteristics …
(GI) tract to be performed without any discomfort. Despite this, several characteristics …
ViTCA-Net: a framework for disease detection in video capsule endoscopy images using a vision transformer and convolutional neural network with a specific …
Video capsule endoscopy (VCE) is a non-invasive procedure to examine the human bowel.
The VCE technology generates thousands of images from different parts of the …
The VCE technology generates thousands of images from different parts of the …
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 …
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 …