AIMC Topic: Colonic Polyps
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Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps.
European radiology
Jan 26, 2022
OBJECTIVES: To investigate the differentiation of premalignant from benign colorectal polyps detected by CT colonography using deep learning.
Colonoscopic image synthesis with generative adversarial network for enhanced detection of sessile serrated lesions using convolutional neural network.
Scientific reports
Jan 7, 2022
Computer-aided detection (CADe) systems have been actively researched for polyp detection in colonoscopy. To be an effective system, it is important to detect additional polyps that may be easily missed by endoscopists. Sessile serrated lesions (SSLs...
Detecting colon polyps in endoscopic images using artificial intelligence constructed with automated collection of annotated images from an endoscopy reporting system.
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Nov 30, 2021
BACKGROUND: Artificial intelligence (AI) has made considerable progress in image recognition, especially in the analysis of endoscopic images. The availability of large-scale annotated datasets has contributed to the recent progress in this field. Da...
Evaluation of an Artificial Intelligence-Augmented Digital System for Histologic Classification of Colorectal Polyps.
JAMA network open
Nov 1, 2021
IMPORTANCE: Colorectal polyps are common, and their histopathologic classification is used in the planning of follow-up surveillance. Substantial variation has been observed in pathologists' classification of colorectal polyps, and improved assessmen...
Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial).
Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
Sep 14, 2021
BACKGROUND & AIMS: Artificial intelligence-based computer-aided polyp detection (CADe) systems are intended to address the issue of missed polyps during colonoscopy. The effect of CADe during screening and surveillance colonoscopy has not previously ...
Colorectal Polyp Image Detection and Classification through Grayscale Images and Deep Learning.
Sensors (Basel, Switzerland)
Sep 7, 2021
Colonoscopy screening and colonoscopic polypectomy can decrease the incidence and mortality rate of colorectal cancer (CRC). The adenoma detection rate and accuracy of diagnosis of colorectal polyp which vary in different experienced endoscopists hav...
Artificial intelligence-assisted colonoscopy: A prospective, multicenter, randomized controlled trial of polyp detection.
Cancer medicine
Sep 3, 2021
BACKGROUND: Artificial intelligence (AI) assistance has been considered as a promising way to improve colonoscopic polyp detection, but there are limited prospective studies on real-time use of AI systems.
Evaluation of novel LCI CAD EYE system for real time detection of colon polyps.
PloS one
Aug 26, 2021
BACKGROUND: Linked color imaging (LCI) has been shown to be effective in multiple randomized controlled trials for enhanced colorectal polyp detection. Recently, artificial intelligence (AI) with deep learning through convolutional neural networks ha...
Artificial intelligence and polyp detection in colonoscopy: Use of a single neural network to achieve rapid polyp localization for clinical use.
Journal of gastroenterology and hepatology
Aug 16, 2021
BACKGROUND AND AIM: Artificial intelligence has been extensively studied to assist clinicians in polyp detection, but such systems usually require expansive processing power, making them prohibitively expensive and hindering wide adaption. The curren...
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