AIMC Topic: Tomography, X-Ray Computed

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Transfer learning-based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data.

Medical & biological engineering & computing Mar 18, 2021
The novel discovered disease coronavirus popularly known as COVID-19 is caused due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and declared a pandemic by the World Health Organization (WHO). An early-stage detection of COVID-19 is...
COVID-19 Tomography, X-Ray Computed SARS-CoV-2 Lung Support Vector Machine Area Under Curve Humans Machine Learning Datasets as Topic Automation
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Comparison of machine learning methods for prediction of osteoradionecrosis incidence in patients with head and neck cancer.

The British journal of radiology Mar 18, 2021
OBJECTIVES: Mandible osteoradionecrosis (ORN) is one of the most severe toxicities in patients with head and neck cancer (HNC) undergoing radiotherapy (RT). The existing literature focuses on the correlation of mandible ORN and clinical and dosimetri...
Middle Aged Incidence Mandible Reproducibility of Results Sensitivity and Specificity Male Osteoradionecrosis Head and Neck Neoplasms Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning Tomography, X-Ray Computed Female
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Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network.

International journal of computer assisted radiology and surgery Mar 17, 2021
PURPOSE: In quantitative computed tomography (CT), manual selection of the intensity calibration phantom's region of interest is necessary for calculating density (mg/cm) from the radiodensity values (Hounsfield units: HU). However, as this manual pr...
Cross-Sectional Studies Image Processing, Computer-Assisted Calibration Neural Networks, Computer Humans Retrospective Studies Tomography, X-Ray Computed
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Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.

Medical physics Mar 16, 2021
PURPOSE: To develop a two-stage three-dimensional (3D) convolutional neural networks (CNNs) for fully automated volumetric segmentation of pancreas on computed tomography (CT) and to further evaluate its performance in the context of intra-reader and...
Humans Tomography, X-Ray Computed Female Image Processing, Computer-Assisted Pancreas Radiation Dosage Reproducibility of Results Male Deep Learning
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Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients.

Sensors (Basel, Switzerland) Mar 16, 2021
Manual segmentation of muscle and adipose compartments from computed tomography (CT) axial images is a potential bottleneck in early rapid detection and quantification of sarcopenia. A prototype deep learning neural network was trained on a multi-cen...
Adipose Tissue Cross-Sectional Studies Deep Learning Humans Multiple Trauma Muscle, Skeletal Tomography, X-Ray Computed
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Role of Hybrid Deep Neural Networks (HDNNs), Computed Tomography, and Chest X-rays for the Detection of COVID-19.

International journal of environmental research and public health Mar 16, 2021
COVID-19 syndrome has extensively escalated worldwide with the induction of the year 2020 and has resulted in the illness of millions of people. COVID-19 patients bear an elevated risk once the symptoms deteriorate. Hence, early recognition of diseas...
Radiography, Thoracic X-Rays SARS-CoV-2 Humans Neural Networks, Computer Deep Learning COVID-19 Tomography, X-Ray Computed
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Critical evaluation of deep neural networks for wrist fracture detection.

Scientific reports Mar 16, 2021
Wrist Fracture is the most common type of fracture with a high incidence rate. Conventional radiography (i.e. X-ray imaging) is used for wrist fracture detection routinely, but occasionally fracture delineation poses issues and an additional confirma...
Wrist Wrist Injuries Female Male Fractures, Bone Retrospective Studies Tomography, X-Ray Computed Humans Neural Networks, Computer Databases, Factual
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Calibrated uncertainty estimation for interpretable proton computed tomography image correction using Bayesian deep learning.

Physics in medicine and biology Mar 16, 2021
Integrated-type proton computed tomography (pCT) measures proton stopping power ratio (SPR) images for proton therapy treatment planning, but its image quality is degraded due to noise and scatter. Although several correction methods have been propos...
Humans Neural Networks, Computer Proton Therapy Uncertainty Protons Head and Neck Neoplasms Bayes Theorem Reproducibility of Results Calibration Head Algorithms Deep Learning Monte Carlo Method Tomography, X-Ray Computed Image Processing, Computer-Assisted Phantoms, Imaging
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Addressing signal alterations induced in CT images by deep learning processing: A preliminary phantom study.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Mar 16, 2021
PURPOSE: We investigate, by an extensive quality evaluation approach, performances and potential side effects introduced in Computed Tomography (CT) images by Deep Learning (DL) processing.
Phantoms, Imaging Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Tomography, X-Ray Computed
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Tumor attention networks: Better feature selection, better tumor segmentation.

Neural networks : the official journal of the International Neural Network Society Mar 13, 2021
Compared with the traditional analysis of computed tomography scans, automatic liver tumor segmentation can supply precise tumor volumes and reduce the inter-observer variability in estimating the tumor size and the tumor burden, which could further ...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Tomography, X-Ray Computed Liver Neoplasms
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