AIMC Topic: Spleen

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A retrospective comparative study of robotic distal pancreatectomy with or without splenic vessel and spleen preservation.

The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland Mar 13, 2021
BACKGROUND: Robotic distal pancreatectomy has been accepted to be safe and effective for pancreatic tail lesion. Whether spleen preservation by preserving the splenic vessels with robot assistance is feasible and beneficial remains controversial. Her...
Humans Retrospective Studies Length of Stay Laparoscopy Robotic Surgical Procedures Pancreatectomy Spleen Treatment Outcome Operative Time Pancreatic Neoplasms Robotics
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Deep learning-enabled multi-organ segmentation in whole-body mouse scans.

Nature communications Nov 6, 2020
Whole-body imaging of mice is a key source of information for research. Organ segmentation is a prerequisite for quantitative analysis but is a tedious and error-prone task if done manually. Here, we present a deep learning solution called AIMOS that...
Animal Structures Spleen X-Ray Microtomography Whole Body Imaging Lung Female Deep Learning Mice Reproducibility of Results Algorithms Image Processing, Computer-Assisted Kidney Animals Brain Mice, Inbred C57BL Male Liver
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An index based on deep learning-measured spleen volume on CT for the assessment of high-risk varix in B-viral compensated cirrhosis.

European radiology Oct 30, 2020
OBJECTIVES: Deep learning enables an automated liver and spleen volume measurements on CT. The purpose of this study was to develop an index combining liver and spleen volumes and clinical factors for detecting high-risk varices in B-viral compensate...
Herpesvirus 1, Cercopithecine Varicose Veins Retrospective Studies Tomography, X-Ray Computed Deep Learning Liver Cirrhosis Predictive Value of Tests Esophageal and Gastric Varices Spleen Humans
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Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction.

IEEE transactions on medical imaging Oct 28, 2020
Shortage of fully annotated datasets has been a limiting factor in developing deep learning based image segmentation algorithms and the problem becomes more pronounced in multi-organ segmentation. In this paper, we propose a unified training strategy...
Neural Networks, Computer Algorithms Spleen
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Identifying gross post-mortem organ images using a pre-trained convolutional neural network.

Journal of forensic sciences Oct 26, 2020
Identifying organs/tissue and pathology on radiological and microscopic images can be performed using convolutional neural networks (CNN). However, there are scant studies on applying CNN to post-mortem gross images of visceral organs. This proof-of-...
Neural Networks, Computer Brain Lung Image Processing, Computer-Assisted Humans Photography Forensic Pathology Kidney Liver Myocardium Spleen
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Decision-making in pediatric blunt solid organ injury: A deep learning approach to predict massive transfusion, need for operative management, and mortality risk.

Journal of pediatric surgery Oct 24, 2020
BACKGROUND: The principal triggers for intervention in the setting of pediatric blunt solid organ injury (BSOI) are declining hemoglobin values and hemodynamic instability. The clinical management of BSOI is, however, complex. We therefore hypothesiz...
Spleen Injury Severity Score Trauma Centers Wounds, Nonpenetrating Deep Learning Child Humans Retrospective Studies
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Multi-to-binary network (MTBNet) for automated multi-organ segmentation on multi-sequence abdominal MRI images.

Physics in medicine and biology Aug 19, 2020
Fully convolutional neural network (FCN) has achieved great success in semantic segmentation. However, the performance of the FCN is generally compromised for multi-object segmentation. Multi-organ segmentation is very common while challenging in the...
Kidney Abdomen Magnetic Resonance Imaging Liver Automation Spleen Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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Assessment of liver fibrosis severity using computed tomography-based liver and spleen volumetric indices in patients with chronic liver disease.

European radiology Feb 13, 2020
OBJECTIVES: To evaluate whether the liver and spleen volumetric indices, measured on portal venous phase CT images, could be used to assess liver fibrosis severity in chronic liver disease.
Severity of Illness Index Case-Control Studies Deep Learning ROC Curve Liver Cirrhosis Liver Chronic Disease Female Organ Size Adult Humans Liver Diseases Male Retrospective Studies Spleen Middle Aged Tomography, X-Ray Computed
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Automatic multi-organ segmentation in dual-energy CT (DECT) with dedicated 3D fully convolutional DECT networks.

Medical physics Jan 1, 2020
PURPOSE: Dual-energy computed tomography (DECT) has shown great potential in many clinical applications. By incorporating the information from two different energy spectra, DECT provides higher contrast and reveals more material differences of tissue...
Deep Learning Spleen Humans Image Processing, Computer-Assisted Models, Theoretical Thorax Kidney Tomography, X-Ray Computed Liver Dose-Response Relationship, Radiation Abdomen Lung Signal-To-Noise Ratio Radiography, Dual-Energy Scanned Projection
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Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks.

Scientific reports Nov 15, 2019
Labeled medical imaging data is scarce and expensive to generate. To achieve generalizable deep learning models large amounts of data are needed. Standard data augmentation is a method to increase generalizability and is routinely performed. Generati...
Kidney Liver Organ Size Datasets as Topic Research Design Image Enhancement Humans Tomography, X-Ray Computed Spleen Neural Networks, Computer Deep Learning Anatomy, Cross-Sectional Algorithms Image Processing, Computer-Assisted
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