AIMC Topic: Pancreas

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Robotic Pancreatoduodenectomy for Pancreatic Head Cancer: a Case Report of a Standardized Technique.

Journal of visualized experiments : JoVE Jun 24, 2022
Robotic pancreatoduodenectomy (RPD) for pancreatic cancer is a challenging procedure. Aberrant vasculature may increase the technical difficulty. Several studies have described the safety of RPD in case of a replaced or aberrant right hepatic artery,...
Pancreas Middle Aged Pancreaticoduodenectomy Pancreatic Neoplasms Robotics Robotic Surgical Procedures Humans Female
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Artificial intelligence implementation in pancreaticobiliary endoscopy.

Expert review of gastroenterology & hepatology Jun 14, 2022
INTRODUCTION: Artificial intelligence has been rapidly deployed in gastroenterology and endoscopy. The acceleration of deep convolutional neural networks along with hardware development has allowed implementation of artificial intelligence algorithms...
Humans Artificial Intelligence Endoscopy, Gastrointestinal Cholangiopancreatography, Endoscopic Retrograde Bile Ducts Endosonography Pancreas
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Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images.

Nature communications Apr 13, 2022
With age, the prevalence of diseases such as fatty liver disease, cirrhosis, and type two diabetes increases. Approaches to both predict abdominal age and identify risk factors for accelerated abdominal age may ultimately lead to advances that will d...
Pancreas Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Liver Neural Networks, Computer
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Accommodating Multiple Tasks' Disparities With Distributed Knowledge-Sharing Mechanism.

IEEE transactions on cybernetics Apr 5, 2022
Deep multitask learning (MTL) shares beneficial knowledge across participating tasks, alleviating the impacts of extreme learning conditions on their performances such as the data scarcity problem. In practice, participators stemming from different d...
Neural Networks, Computer Machine Learning Learning Pancreas
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[Robotic Pancreatic Surgery - Learning Curve and Implementation].

Zentralblatt fur Chirurgie Apr 4, 2022
Minimally invasive resection techniques for the treatment of various pathologies of the pancreas are potentially advantageous for the treated patients in terms of restitution time and postoperative morbidity, but are a technical challenge for the res...
Robotics Robotic Surgical Procedures Humans Learning Curve Pancreas Pancreatectomy
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Automated pancreas segmentation and volumetry using deep neural network on computed tomography.

Scientific reports Mar 8, 2022
Pancreas segmentation is necessary for observing lesions, analyzing anatomical structures, and predicting patient prognosis. Therefore, various studies have designed segmentation models based on convolutional neural networks for pancreas segmentation...
Pancreas Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Humans Tomography, X-Ray Computed
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Automatic quantitative evaluation of normal pancreas based on deep learning in a Chinese adult population.

Abdominal radiology (New York) Jan 22, 2022
OBJECTIVE: To develop a 3D U-Net-based model for the automatic segmentation of the pancreas using the diameters, volume, and density of normal pancreases among Chinese adults.
Image Processing, Computer-Assisted Deep Learning Pancreas China Humans Retrospective Studies
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Deep learning-based pancreas volume assessment in individuals with type 1 diabetes.

BMC medical imaging Jan 5, 2022
Pancreas volume is reduced in individuals with diabetes and in autoantibody positive individuals at high risk for developing type 1 diabetes (T1D). Studies investigating pancreas volume are underway to assess pancreas volume in large clinical databas...
Retrospective Studies Male Deep Learning Adolescent Humans Algorithms Organ Size Diabetes Mellitus, Type 1 Pancreas Imaging, Three-Dimensional Magnetic Resonance Imaging Image Processing, Computer-Assisted
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Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets.

Journal of digital imaging Dec 17, 2021
Organ segmentation from existing imaging is vital to the medical image analysis and disease diagnosis. However, the boundary shapes and area sizes of the target region tend to be diverse and flexible. And the frequent applications of pooling operatio...
Abdomen Pancreas Humans Tomography, X-Ray Computed Neural Networks, Computer Image Processing, Computer-Assisted
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Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism.

BMC medical imaging Nov 12, 2021
BACKGROUND: A novel multi-level pyramidal pooling residual U-Net with adversarial mechanism was proposed for organ segmentation from medical imaging, and was conducted on the challenging NIH Pancreas-CT dataset.
Datasets as Topic Humans Pancreas Tomography, X-Ray Computed Neural Networks, Computer Contrast Media
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