AIMC Topic: Abdomen

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Graph-enhanced U-Net for semi-supervised segmentation of pancreas from abdomen CT scan.

Physics in medicine and biology Jul 27, 2022
. Accurate segmentation of the pancreas from abdomen CT scans is highly desired for diagnosis and treatment follow-up of pancreatic diseases. However, the task is challenged by large anatomical variations, low soft-tissue contrast, and the difficulty...
Tomography, X-Ray Computed Neural Networks, Computer Deep Learning Abdomen Pancreas Image Processing, Computer-Assisted
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Deep learning versus iterative reconstruction on image quality and dose reduction in abdominal CT: a live animal study.

Physics in medicine and biology Jul 8, 2022
While simulated low-dose CT images and phantom studies cannot fully approximate subjective and objective effects of deep learning (DL) denoising on image quality, live animal models may afford this assessment. This study is to investigate the potenti...
Animals Deep Learning Abdomen Algorithms Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Phantoms, Imaging Sheep Drug Tapering
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Clinical feasibility of accelerated diffusion weighted imaging of the abdomen with deep learning reconstruction: Comparison with conventional diffusion weighted imaging.

European journal of radiology Jun 30, 2022
PURPOSE: To assess the clinical feasibility of accelerated deep learning-reconstructed diffusion weighted imaging (DWI) and to compare its image quality and acquisition time with those of conventional DWI.
Feasibility Studies Reproducibility of Results Humans Deep Learning Retrospective Studies Abdomen Diffusion Magnetic Resonance Imaging
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Robot-assisted anterior resection for rectal cancer with double inferior vena cava: A case report.

Asian journal of endoscopic surgery Jun 28, 2022
Double inferior vena cava (DIVC) is a rare but generally asymptomatic condition that is often detected incidentally by radiological examinations such as computed tomography (CT). Here, we describe the case of a 73-year-old woman with DIVC, who underw...
Abdomen Lymph Node Excision Rectal Neoplasms Vena Cava, Inferior Humans Female Robotics Aged
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Commentary On: Image Quality Evaluation in Dual Energy CT of the Chest, Abdomen and Pelvis in Obese Patients with Deep Learning Image Reconstruction.

Journal of computer assisted tomography Jun 23, 2022
Radiation Dosage Image Processing, Computer-Assisted Abdomen Pelvis Radiographic Image Interpretation, Computer-Assisted Obesity Tomography, X-Ray Computed Deep Learning Humans Algorithms
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Deep learning for emergency ascites diagnosis using ultrasonography images.

Journal of applied clinical medical physics Jun 20, 2022
PURPOSE: The detection of abdominal free fluid or hemoperitoneum can provide critical information for clinical diagnosis and treatment, particularly in emergencies. This study investigates the use of deep learning (DL) for identifying peritoneal free...
Sensitivity and Specificity Deep Learning Ultrasonography Humans Abdomen Ascites
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Natural Language Processing for Imaging Protocol Assignment: Machine Learning for Multiclass Classification of Abdominal CT Protocols Using Indication Text Data.

Journal of digital imaging Jun 2, 2022
A correct protocol assignment is critical to high-quality imaging examinations, and its automation can be amenable to natural language processing (NLP). Assigning protocols for abdominal imaging CT scans is particularly challenging given the multiple...
Humans Machine Learning Algorithms Natural Language Processing Tomography, X-Ray Computed Abdomen
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Image Quality Evaluation in Dual-Energy CT of the Chest, Abdomen, and Pelvis in Obese Patients With Deep Learning Image Reconstruction.

Journal of computer assisted tomography Apr 27, 2022
OBJECTIVE: The aim of this study was to evaluate image quality in vascular and oncologic dual-energy computed tomography (CT) imaging studies performed with a deep learning (DL)-based image reconstruction algorithm in patients with body mass index of...
Radiation Dosage Image Processing, Computer-Assisted Tomography, X-Ray Computed Pelvis Abdomen Humans Deep Learning Obesity Radiographic Image Interpretation, Computer-Assisted Algorithms
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Comprehensive Clinical Evaluation of a Deep Learning-Accelerated, Single-Breath-Hold Abdominal HASTE at 1.5 T and 3 T.

Academic radiology Apr 22, 2022
To evaluate the clinical performance of a deep learning-accelerated single-breath-hold half-Fourier acquisition single-shot turbo spin echo (HASTE)-sequence for T2-weighted fat-suppressed MRI of the abdomen at 1.5 T and 3 T in comparison to standard ...
Retrospective Studies Deep Learning Liver Neoplasms Artifacts Humans Abdomen Magnetic Resonance Imaging
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Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning.

BMC medical informatics and decision making Apr 15, 2022
BACKGROUND: There is progress to be made in building artificially intelligent systems to detect abnormalities that are not only accurate but can handle the true breadth of findings that radiologists encounter in body (chest, abdomen, and pelvis) comp...
Abdomen Pelvis Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer
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