AIMC Topic: Abdomen

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Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.

IEEE transactions on medical imaging Mar 2, 2023
Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medical image registration approaches on a wide range of clinically releva...
Humans Algorithms Image Processing, Computer-Assisted Abdomen Abdominal Cavity Brain Deep Learning
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Spatial resolution, noise properties, and detectability index of a deep learning reconstruction algorithm for dual-energy CT of the abdomen.

Medical physics Feb 21, 2023
BACKGROUND: Iterative reconstruction (IR) has increasingly replaced traditional reconstruction methods in computed tomography (CT). The next paradigm shift in image reconstruction is likely to come from artificial intelligence, with deep learning rec...
Radiation Dosage Phantoms, Imaging Deep Learning Abdomen Iodine Radiographic Image Interpretation, Computer-Assisted Algorithms Tomography, X-Ray Computed Artificial Intelligence
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Free-breathing and instantaneous abdominal T mapping via single-shot multiple overlapping-echo acquisition and deep learning reconstruction.

European radiology Jan 24, 2023
OBJECTIVES: To develop a real-time abdominal T mapping method without requiring breath-holding or respiratory-gating.
Phantoms, Imaging Liver Respiration Humans Deep Learning Abdomen Magnetic Resonance Imaging
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The Dresden Surgical Anatomy Dataset for Abdominal Organ Segmentation in Surgical Data Science.

Scientific data Jan 12, 2023
Laparoscopy is an imaging technique that enables minimally-invasive procedures in various medical disciplines including abdominal surgery, gynaecology and urology. To date, publicly available laparoscopic image datasets are mostly limited to general ...
Artificial Intelligence Data Science Abdomen Algorithms Tomography, X-Ray Computed Germany
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Technical performance of a dual-energy CT system with a novel deep-learning based reconstruction process: Evaluation using an abdomen protocol.

Medical physics Dec 29, 2022
BACKGROUND: A new tube voltage-switching dual-energy (DE) CT system using a novel deep-learning based reconstruction process has been introduced. Characterizing the performance of this DE approach can help demonstrate its benefits and potential drawb...
Polyethylene Phantoms, Imaging Iodine Tomography, X-Ray Computed Abdomen Deep Learning
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Multi-task deep learning for medical image computing and analysis: A review.

Computers in biology and medicine Dec 28, 2022
The renaissance of deep learning has provided promising solutions to various tasks. While conventional deep learning models are constructed for a single specific task, multi-task deep learning (MTDL) that is capable to simultaneously accomplish at le...
Brain Deep Learning Image Processing, Computer-Assisted Abdomen Humans
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Usefulness of Breath-Hold Fat-Suppressed T2-Weighted Images With Deep Learning-Based Reconstruction of the Liver: Comparison to Conventional Free-Breathing Turbo Spin Echo.

Investigative radiology Dec 26, 2022
OBJECTIVES: The aim of this study was to evaluate the usefulness of breath-hold turbo spin echo with deep learning-based reconstruction (BH-DL-TSE) in acquiring fat-suppressed T2-weighted images (FS-T2WI) of the liver by comparing this method with co...
Digestive System Diseases Humans Liver Diseases Magnetic Resonance Imaging Respiration Artifacts Deep Learning Abdomen
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Abdomen CT multi-organ segmentation using token-based MLP-Mixer.

Medical physics Dec 20, 2022
BACKGROUND: Manual contouring is very labor-intensive, time-consuming, and subject to intra- and inter-observer variability. An automated deep learning approach to fast and accurate contouring and segmentation is desirable during radiotherapy treatme...
Image Processing, Computer-Assisted Abdomen Tomography, X-Ray Computed Lung Neural Networks, Computer Algorithms Humans
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Interactive 3D Force/Torque Parameter Acquisition and Correlation Identification during Primary Trocar Insertion in Laparoscopic Abdominal Surgery: 5 Cases.

Sensors (Basel, Switzerland) Nov 19, 2022
Laparoscopic procedures have become indispensable in gastrointestinal surgery. As a minimally invasive process, it begins with primary trocar insertion. However, this step poses the threat of injuries to the gastrointestinal tract and blood vessels. ...
Surgical Instruments Laparoscopy Humans Torque Abdomen Robotics
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Editorial Comment: More Evidence Supporting Deep Learning Reconstructions in Abdominal CT-What Should We Do?

AJR. American journal of roentgenology Sep 28, 2022
Deep Learning Abdomen Humans Image Processing, Computer-Assisted Tomography, X-Ray Computed
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