AIMC Topic: Pancreas

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Radiomics in stratification of pancreatic cystic lesions: Machine learning in action.

Cancer letters Oct 17, 2019
Pancreatic cystic lesions (PCLs) are well-known precursors of pancreatic cancer. Their diagnosis can be challenging as their behavior varies from benign to malignant disease. Precise and timely management of malignant pancreatic cysts might prevent t...
Artificial Intelligence Machine Learning Precision Medicine Humans Pancreas Precancerous Conditions Radiometry Pancreatic Cyst Prognosis Support Vector Machine Pancreatic Neoplasms
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Technical and Clinical Factors Affecting Success Rate of a Deep Learning Method for Pancreas Segmentation on CT.

Academic radiology Sep 16, 2019
PURPOSE: Accurate pancreas segmentation has application in surgical planning, assessment of diabetes, and detection and analysis of pancreatic tumors. Factors that affect pancreas segmentation accuracy have not been previously reported. The purpose o...
Image Processing, Computer-Assisted Pancreas Humans Neural Networks, Computer Male Tomography, X-Ray Computed Deep Learning Female
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Convolutional neural networks for reconstruction of undersampled optical projection tomography data applied to in vivo imaging of zebrafish.

Journal of biophotonics Aug 29, 2019
Optical projection tomography (OPT) is a 3D mesoscopic imaging modality that can utilize absorption or fluorescence contrast. 3D images can be rapidly reconstructed from tomographic data sets sampled with sufficient numbers of projection angles using...
Neural Networks, Computer Tomography, Optical Mice Animals Zebrafish Pancreas Lung Image Processing, Computer-Assisted
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ASO Author Reflections: Formalization of Robotic Central Pancreatectomy Focusing on the Reconstruction of Pancreatic Digestive Continuity.

Annals of surgical oncology Aug 28, 2019
Robotic Surgical Procedures Pancreas Pancreatectomy Robotics
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BERMUDA: a novel deep transfer learning method for single-cell RNA sequencing batch correction reveals hidden high-resolution cellular subtypes.

Genome biology Aug 12, 2019
To fully utilize the power of single-cell RNA sequencing (scRNA-seq) technologies for identifying cell lineages and bona fide transcriptional signals, it is necessary to combine data from multiple experiments. We present BERMUDA (Batch Effect ReMoval...
Sequence Analysis, RNA Pancreas Gene Expression Profiling Deep Learning Single-Cell Analysis T-Lymphocytes Leukocytes, Mononuclear Humans Algorithms
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Deep learning how to fit an intravoxel incoherent motion model to diffusion-weighted MRI.

Magnetic resonance in medicine Aug 7, 2019
PURPOSE: This prospective clinical study assesses the feasibility of training a deep neural network (DNN) for intravoxel incoherent motion (IVIM) model fitting to diffusion-weighted MRI (DW-MRI) data and evaluates its performance.
Kidney Liver Bayes Theorem Middle Aged Deep Learning Image Processing, Computer-Assisted Pancreas Spleen Diffusion Magnetic Resonance Imaging Least-Squares Analysis Motion Image Interpretation, Computer-Assisted Algorithms Prospective Studies Computer Simulation Reproducibility of Results Adult Male Humans
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Holistic decomposition convolution for effective semantic segmentation of medical volume images.

Medical image analysis Jul 8, 2019
Convolutional Neural Networks (CNNs) have achieved state-of-the-art performance in many different 2D medical image analysis tasks. In clinical practice, however, a large part of the medical imaging data available is in 3D, e.g, magnetic resonance ima...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Tomography, X-Ray Computed Imaging, Three-Dimensional Radiography, Abdominal Hip Dislocation Artifacts Datasets as Topic Pancreas
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Markerless Pancreatic Tumor Target Localization Enabled By Deep Learning.

International journal of radiation oncology, biology, physics Jun 13, 2019
PURPOSE: Deep learning is an emerging technique that allows us to capture imaging information beyond the visually recognizable level of a human being. Because of the anatomic characteristics and location, on-board target verification for radiation de...
Radiotherapy, Image-Guided Fiducial Markers Organ Motion Radiography Datasets as Topic Pancreas Neural Networks, Computer Deep Learning Humans Image Processing, Computer-Assisted Pancreatic Neoplasms
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Deep Q Learning Driven CT Pancreas Segmentation With Geometry-Aware U-Net.

IEEE transactions on medical imaging Apr 16, 2019
The segmentation of pancreas is important for medical image analysis, yet it faces great challenges of class imbalance, background distractions, and non-rigid geometrical features. To address these difficulties, we introduce a deep Q network (DQN) dr...
Databases, Factual Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Pancreas Humans Algorithms
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Pancreatic cancer biomarker detection by two support vector strategies for recursive feature elimination.

Biomarkers in medicine Feb 15, 2019
AIM: Pancreatic cancer is one of the worst malignant tumors in prognosis. Therefore, to reduce the mortality rate of pancreatic cancer, early diagnosis and prompt treatment are particularly important.
Case-Control Studies alpha-Macroglobulins Survival Rate Support Vector Machine Biomarkers, Tumor Pancreas Pancreatic Neoplasms Gene Expression Profiling Proto-Oncogene Proteins c-fos Humans Matrix Metalloproteinase 7 Algorithms Prognosis
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