Deep-learning system detects neoplasia in patients with Barrett's esophagus with higher accuracy than endoscopists in a multistep training and validation study with …
AJ de Groof, MR Struyvenberg, J van der Putten… - Gastroenterology, 2020 - Elsevier
Background & Aims We aimed to develop and validate a deep-learning computer-aided
detection (CAD) system, suitable for use in real time in clinical practice, to improve …
detection (CAD) system, suitable for use in real time in clinical practice, to improve …
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 …
Accuracy of artificial intelligence‐assisted detection of esophageal cancer and neoplasms on endoscopic images: a systematic review and meta‐analysis
SM Zhang, YJ Wang, ST Zhang - Journal of Digestive Diseases, 2021 - Wiley Online Library
Objective To investigate systematically previous studies on the accuracy of artificial
intelligence (AI)‐assisted diagnostic models in detecting esophageal neoplasms on …
intelligence (AI)‐assisted diagnostic models in detecting esophageal neoplasms on …
[HTML][HTML] Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box
Even though artificial intelligence and machine learning have demonstrated remarkable
performances in medical image computing, their level of accountability and transparency …
performances in medical image computing, their level of accountability and transparency …
Early esophageal adenocarcinoma detection using deep learning methods
Purpose This study aims to adapt and evaluate the performance of different state-of-the-art
deep learning object detection methods to automatically identify esophageal …
deep learning object detection methods to automatically identify esophageal …
Esophageal abnormality detection using densenet based faster r-cnn with gabor features
Early detection of esophageal abnormalities can help in preventing the progression of the
disease into later stages. During esophagus examination, abnormalities are often …
disease into later stages. During esophagus examination, abnormalities are often …
[HTML][HTML] Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks
Barrett's esophagus figured a swift rise in the number of cases in the past years. Although
traditional diagnosis methods offered a vital role in early-stage treatment, they are generally …
traditional diagnosis methods offered a vital role in early-stage treatment, they are generally …
Intelligent diagnosis of gastric intestinal metaplasia based on convolutional neural network and limited number of endoscopic images
Background Gastric intestinal metaplasia (GIM) is a precancerous lesion of gastric cancer.
Currently, diagnosis of GIM is based on the experience of a physician, which is liable to …
Currently, diagnosis of GIM is based on the experience of a physician, which is liable to …
Deep learning-based anatomical site classification for upper gastrointestinal endoscopy
Purpose Upper gastrointestinal (GI) endoscopic image documentation has provided an
efficient, low-cost solution to address quality control for endoscopic reporting. The problem …
efficient, low-cost solution to address quality control for endoscopic reporting. The problem …
Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopy
Artificial intelligence (AI) and its application in medicine has grown large interest. Within
gastrointestinal (GI) endoscopy, the field of colonoscopy and polyp detection is the most …
gastrointestinal (GI) endoscopy, the field of colonoscopy and polyp detection is the most …