AIMC Topic: Colonic Polyps
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Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy.
Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association
Jan 1, 2020
BACKGROUND/AIM: To study the impact of computer-aided detection (CADe) system on the detection rate of polyps and adenomas in colonoscopy.
Artificial Intelligence for the Determination of a Management Strategy for Diminutive Colorectal Polyps: Hype, Hope, or Help.
The American journal of gastroenterology
Jan 1, 2020
Most colorectal polyps are diminutive, and malignant potential for these polyps is uncommon, especially for those in the rectosigmoid. However, many diminutive polyps are still being resected to determine whether these are adenomas or serrated/hyperp...
Prediction of Polyp Pathology Using Convolutional Neural Networks Achieves "Resect and Discard" Thresholds.
The American journal of gastroenterology
Jan 1, 2020
OBJECTIVES: Reliable in situ diagnosis of diminutive (≤5 mm) colorectal polyps could allow for "resect and discard" and "diagnose and leave" strategies, resulting in $1 billion cost savings per year in the United States alone. Current methodologies h...
Machine learning for computer-aided polyp detection using wavelets and content-based image.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
The continuous growing of machine learning techniques, their capabilities improvements and the availability of data being continuously collected, recorded and updated, can enhance diagnosis stages by making it faster and more accurate than human diag...
Overview of Deep Learning in Gastrointestinal Endoscopy.
Gut and liver
Jan 11, 2019
Artificial intelligence is likely to perform several roles currently performed by humans, and the adoption of artificial intelligence-based medicine in gastroenterology practice is expected in the near future. Medical image-based diagnoses, such as p...
Accurate Identification of Colonoscopy Quality and Polyp Findings Using Natural Language Processing.
Journal of clinical gastroenterology
Jan 1, 2019
OBJECTIVES: The aim of this study was to test the ability of a commercially available natural language processing (NLP) tool to accurately extract examination quality-related and large polyp information from colonoscopy reports with varying report fo...
Towards trustable machine learning.
Nature biomedical engineering
Oct 1, 2018
Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2018
Colorectal cancer is one of the highest causes of cancer-related death, especially in men. Polyps are one of the main causes of colorectal cancer, and early diagnosis of polyps by colonoscopy could result in successful treatment. Diagnosis of polyps ...
Classification of Informative Frames in Colonoscopy Videos Using Convolutional Neural Networks with Binarized Weights.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2018
Colorectal cancer is one of the common cancers in the United States. Polyps are one of the major causes of colonic cancer, and early detection of polyps will increase the chance of cancer treatments. In this paper, we propose a novel classification o...
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