AIMC Topic: Gastroscopy

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Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification.

IEEE transactions on medical imaging May 15, 2018
This paper proposes a novel methodology for automatic detection and localization of gastrointestinal (GI) anomalies in endoscopic video frame sequences. Training is performed with weakly annotated images, using only image-level, semantic labels inste...
Humans Algorithms Databases, Factual Gastroscopy Image Interpretation, Computer-Assisted Deep Learning Gastrointestinal Tract Video Recording Gastrointestinal Diseases
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Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis.

Computers in biology and medicine Apr 27, 2018
A large amount of digital image material is routinely captured during esophagogastroduodenoscopies but, for the most part, is not used for confirming the diagnosis process of celiac disease which is primarily based on histological examination of biop...
Pattern Recognition, Automated Gastroscopy Celiac Disease Image Interpretation, Computer-Assisted Observer Variation Automation Decision Making Humans Biopsy Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning Algorithms Duodenum Endoscopy Diagnosis, Computer-Assisted
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Scalable gastroscopic video summarization via similar-inhibition dictionary selection.

Artificial intelligence in medicine Aug 18, 2015
OBJECTIVE: This paper aims at developing an automated gastroscopic video summarization algorithm to assist clinicians to more effectively go through the abnormal contents of the video.
Predictive Value of Tests Data Compression Image Interpretation, Computer-Assisted Video Recording Algorithms Pattern Recognition, Automated Stomach Diseases Humans Gastroscopy Reproducibility of Results Artificial Intelligence Case-Control Studies
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Application of artificial intelligence in the detection of Borrmann type 4 advanced gastric cancer in upper endoscopy (with video).

Cancer Feb 15, 2025
BACKGROUND: Borrmann type-4 (B-4) advanced gastric cancer is challenging to diagnose through routine endoscopy, leading to a poor prognosis. The objective of this study was to develop an artificial intelligence (AI)-based system capable of detecting ...
Aged Humans Aged, 80 and over Artificial Intelligence Middle Aged Adult Stomach Neoplasms Retrospective Studies Video Recording Sensitivity and Specificity Female Gastroscopy Male
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Swallowable, Remote- Controlled Robot Tours the Stomach, Transmits Live Video.

IEEE pulse Jan 1, 2025
A pill-sized remote-operated vehicle that takes and transmits live video of the inside of a person's stomach could be on the market as early as 2026.
Capsule Endoscopy Stomach Gastroscopy Capsule Endoscopes Robotics Equipment Design Clinical Trials as Topic Humans
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[Research progress on endoscopic image diagnosis of gastric tumors based on deep learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2024
Gastric tumors are neoplastic lesions that occur in the stomach, posing a great threat to human health. Gastric cancer represents the malignant form of gastric tumors, and early detection and treatment are crucial for patient recovery. Endoscopic exa...
Stomach Neoplasms Diagnosis, Computer-Assisted Deep Learning Humans Algorithms Gastroscopy
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Deep learning-based anatomical position recognition for gastroscopic examination.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: The gastroscopic examination is a preferred method for the detection of upper gastrointestinal lesions. However, gastroscopic examination has high requirements for doctors, especially for the strict position and quantity of the archived i...
Gastroscopy Deep Learning Stomach Humans Neural Networks, Computer
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Applications of artificial intelligence in gastroscopy: a narrative review.

The Journal of international medical research Jan 1, 2024
Gastroscopy, a critical tool for the diagnosis of upper gastrointestinal diseases, has recently incorporated artificial intelligence (AI) technology to alleviate the challenges involved in endoscopic diagnosis of some lesions, thereby enhancing diagn...
Humans Artificial Intelligence Gastroscopy
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Diagnostic Performance of Deep Learning Models for Gastric Intestinal Metaplasia Detection in Narrow-band Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Gastric Intestinal Metaplasia (GIM) is one of the precancerous conditions in the gastric carcinogenesis cascade and its optical diagnosis during endoscopic screening is challenging even for seasoned endoscopists. Several solutions leveraging pre-trai...
Stomach Gastroscopy Metaplasia Humans Deep Learning Precancerous Conditions
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Evaluation of deep learning methods for early gastric cancer detection using gastroscopic images.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2023
BACKGROUND: A timely diagnosis of early gastric cancer (EGC) can greatly reduce the death rate of patients. However, the manual detection of EGC is a costly and low-accuracy task. The artificial intelligence (AI) method based on deep learning is cons...
Early Detection of Cancer Gastroscopy Humans Artificial Intelligence Neural Networks, Computer Stomach Neoplasms Deep Learning
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