AIMC Topic: Endosonography
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Application of Computer-Assisted Endoscopic Ultrasonography Based on Texture Features in Differentiating Gastrointestinal Stromal Tumors from Benign Gastric Mesenchymal Tumors.
The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology
May 1, 2024
BACKGROUND/AIMS: Gastrointestinal stromal tumors are common gastric mesenchymal tumors that are potentially malignant. However, endoscopic ultrasonography is poor in diagnosing gastrointestinal stromal tumors. The study investigated the efficacy of ...
Application of endoscopic ultrasonography for detecting esophageal lesions based on convolutional neural network.
World journal of gastroenterology
Jun 14, 2022
BACKGROUND: A convolutional neural network (CNN) is a deep learning algorithm based on the principle of human brain visual cortex processing and image recognition.
Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas.
Clinical and translational gastroenterology
May 22, 2019
OBJECTIVES: Intraductal papillary mucinous neoplasms (IPMNs) are precursor lesions of pancreatic adenocarcinoma. Artificial intelligence (AI) is a mathematical concept whose implementation automates learning and recognizing data patterns. The aim of ...
Pancreatic Intraductal Neoplasms
Endosonography
Pancreas
Pancreatectomy
Preoperative Period
Pancreatic Neoplasms
Carcinoma, Pancreatic Ductal
Image Processing, Computer-Assisted
Humans
Retrospective Studies
Female
Aged
Middle Aged
Adult
Disease Progression
Aged, 80 and over
Male
Deep Learning
ROC Curve
Effects of premedication with Pronase for endoscopic ultrasound of the stomach: A randomized controlled trial.
World journal of gastroenterology
Dec 28, 2016
AIM: To analyze the effects of premedication with Pronase for endoscopic ultrasound (EUS) examination of the stomach.
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