AIMC Topic: Pancreas

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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...
Humans Deep Learning Image Processing, Computer-Assisted Pancreas Neural Networks, Computer 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.
Humans China Image Processing, Computer-Assisted Pancreas Retrospective Studies Deep Learning
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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...
Pancreas Magnetic Resonance Imaging Organ Size Deep Learning Adolescent Image Processing, Computer-Assisted Diabetes Mellitus, Type 1 Retrospective Studies Humans Imaging, Three-Dimensional Male Algorithms
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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...
Pancreas Image Processing, Computer-Assisted Abdomen Humans Neural Networks, Computer Tomography, X-Ray Computed
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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.
Humans Neural Networks, Computer Contrast Media Datasets as Topic Tomography, X-Ray Computed Pancreas
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State-of-the-art surgery for pancreatic cancer.

Langenbeck's archives of surgery Nov 9, 2021
BACKGROUND: The d evelopment of surgical techniques and specialization and specifically complication management in pancreatic surgery have improved surgical outcomes as well as oncological results in pancreatic surgery in recent decades. Historical m...
Laparoscopy Robotic Surgical Procedures Pancreatic Neoplasms Pancreas Combined Modality Therapy Humans Robotics Pancreatectomy
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3D spatial priors for semi-supervised organ segmentation with deep convolutional neural networks.

International journal of computer assisted radiology and surgery Nov 8, 2021
PURPOSE: Fully Convolutional neural Networks (FCNs) are the most popular models for medical image segmentation. However, they do not explicitly integrate spatial organ positions, which can be crucial for proper labeling in challenging contexts.
Pancreas Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Robot-assisted pancreatic surgery-optimized operating procedures: set-up, port placement, surgical steps.

Journal of robotic surgery Sep 2, 2021
Even in most complex surgical settings, recent advances in minimal-invasive technologies have made the application of robotic-assisted devices more viable. Due to ever increasing experience and expertise, many large international centers now offer ro...
Pancreas Learning Curve Robotics Robotic Surgical Procedures Humans Prospective Studies
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Dual adversarial convolutional networks with multilevel cues for pancreatic segmentation.

Physics in medicine and biology Aug 31, 2021
Accurate organ segmentation is a relatively challenging subject in medical imaging, especially for the pancreas, whose morphological characteristics are subtle but variable. In this paper, a novel dual adversarial convolutional network with multileve...
Neural Networks, Computer Algorithms Pancreas Image Processing, Computer-Assisted Cues
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Efficient, high-performance semantic segmentation using multi-scale feature extraction.

PloS one Aug 19, 2021
The success of deep learning in recent years has arguably been driven by the availability of large datasets for training powerful predictive algorithms. In medical applications however, the sensitive nature of the data limits the collection and excha...
Brain Neoplasms Algorithms Humans Semantics Deep Learning Image Processing, Computer-Assisted Tomography, X-Ray Computed Pancreas Neural Networks, Computer Magnetic Resonance Imaging
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