Artificial intelligence and automation in endoscopy and surgery
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …
displays to electronics connecting configurable illumination and actuation systems for …
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 …
A deep ensemble learning method for colorectal polyp classification with optimized network parameters
Colorectal Cancer (CRC), a leading cause of cancer-related deaths, can be abated by timely
polypectomy. Computer-aided classification of polyps helps endoscopists to resect timely …
polypectomy. Computer-aided classification of polyps helps endoscopists to resect timely …
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Polyps are well-known cancer precursors identified by colonoscopy. However, variability in
their size, appearance, and location makes the detection of polyps challenging. Moreover …
their size, appearance, and location makes the detection of polyps challenging. Moreover …
[HTML][HTML] Automated identification of human gastrointestinal tract abnormalities based on deep convolutional neural network with endoscopic images
As a powerful analytic tool for medical image analysis, particularly for endoscopic image
interpretation, deep convolutional neural network (DCNN) has gained remarkable attention …
interpretation, deep convolutional neural network (DCNN) has gained remarkable attention …
Detection and classification of gastrointestinal disease using convolutional neural network and SVM
Gastrointestinal tract is a series of hollow organs connected in a long tube twisting from the
mouth to the anus. Recovery of gastrointestinal diseased patients depends on the early …
mouth to the anus. Recovery of gastrointestinal diseased patients depends on the early …
Gastrointestinal disorder detection with a transformer based approach
Accurate disease categorization using endoscopic images is a significant problem in
Gastroenterology. This paper describes a technique for assisting medical diagnosis …
Gastroenterology. This paper describes a technique for assisting medical diagnosis …
Video capsule endoscopy classification using focal modulation guided convolutional neural network
Video capsule endoscopy is a hot topic in computer vision and medicine. Deep learning can
have a positive impact on the future of video capsule endoscopy technology. It can improve …
have a positive impact on the future of video capsule endoscopy technology. It can improve …
Forrest classification for bleeding peptic ulcer: a new look at the old endoscopic classification
HH Yen, PY Wu, TL Wu, SP Huang, YY Chen, MF Chen… - Diagnostics, 2022 - mdpi.com
The management of peptic ulcer bleeding is clinically challenging. For decades, the Forrest
classification has been used for risk stratification for nonvariceal ulcer bleeding. The …
classification has been used for risk stratification for nonvariceal ulcer bleeding. The …
[PDF][PDF] Overview of ImageCLEFmedical 2023-Medical Visual Question Answering for Gastrointestinal Tract.
This paper provides an overview of the Medical Visual Question Answering for
Gastrointestinal Tract (MedVQA-GI) challenge held at ImageCLEF 2023, a new challenge …
Gastrointestinal Tract (MedVQA-GI) challenge held at ImageCLEF 2023, a new challenge …