[HTML][HTML] Convolutional neural network technology in endoscopic imaging: artificial intelligence for endoscopy

J Choi, K Shin, J Jung, HJ Bae, DH Kim… - Clinical …, 2020 - synapse.koreamed.org
Recently, significant improvements have been made in artificial intelligence. The artificial
neural network was introduced in the 1950s. However, because of the low computing power …

[HTML][HTML] Overview of deep learning in gastrointestinal endoscopy

JK Min, MS Kwak, JM Cha - Gut and liver, 2019 - ncbi.nlm.nih.gov
Artificial intelligence is likely to perform several roles currently performed by humans, and
the adoption of artificial intelligence-based medicine in gastroenterology practice is …

[HTML][HTML] Evolving role of artificial intelligence in gastrointestinal endoscopy

G Parasher, M Wong, M Rawat - World journal of gastroenterology, 2020 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is a combination of different technologies that enable machines to
sense, comprehend, and learn with human-like levels of intelligence. AI technology will …

[HTML][HTML] Preparation of image databases for artificial intelligence algorithm development in gastrointestinal endoscopy

CB Yang, SH Kim, YJ Lim - Clinical Endoscopy, 2022 - synapse.koreamed.org
Over the past decade, technological advances in deep learning have led to the introduction
of artificial intelligence (AI) in medical imaging. The most commonly used structure in image …

Look-behind fully convolutional neural network for computer-aided endoscopy

DE Diamantis, DK Iakovidis, A Koulaouzidis - Biomedical signal processing …, 2019 - Elsevier
In this paper, we propose a novel Fully Convolutional Neural Network (FCN) architecture
aiming to aid the detection of abnormalities, such as polyps, ulcers and blood, in …

A systematic review on application of deep learning in digestive system image processing

H Zhuang, J Zhang, F Liao - The Visual Computer, 2023 - Springer
With the advent of the big data era, the application of artificial intelligence represented by
deep learning in medicine has become a hot topic. In gastroenterology, deep learning has …

Impact of image resolution on deep learning performance in endoscopy image classification: An experimental study using a large dataset of endoscopic images

V Thambawita, I Strümke, SA Hicks, P Halvorsen… - Diagnostics, 2021 - mdpi.com
Recent trials have evaluated the efficacy of deep convolutional neural network (CNN)-based
AI systems to improve lesion detection and characterization in endoscopy. Impressive …

Application of artificial intelligence in gastrointestinal endoscopy

J Wu, J Chen, J Cai - Journal of Clinical Gastroenterology, 2021 - journals.lww.com
Artificial intelligence (AI), also known as computer-aided diagnosis, is a technology that
enables machines to process information and functions at or above human level and has …

[HTML][HTML] Automated identification of human gastrointestinal tract abnormalities based on deep convolutional neural network with endoscopic images

I Iqbal, K Walayat, MU Kakar, J Ma - Intelligent Systems with Applications, 2022 - Elsevier
As a powerful analytic tool for medical image analysis, particularly for endoscopic image
interpretation, deep convolutional neural network (DCNN) has gained remarkable attention …

The current state of artificial intelligence in endoscopic diagnosis of early esophageal squamous cell carcinoma

Y Pan, L He, W Chen, Y Yang - Frontiers in oncology, 2023 - frontiersin.org
Esophageal squamous cell carcinoma (ESCC) is a common malignant tumor of the
digestive tract. The most effective method of reducing the disease burden in areas with a …