AIMC Journal:
BMC medical imaging

Showing 221 to 230 of 252 articles

Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction.

BMC medical imaging Oct 10, 2021
BACKGROUND: Efforts to reduce the radiation dose have continued steadily, with new reconstruction techniques. Recently, image denoising algorithms using artificial neural networks, termed deep learning reconstruction (DLR), have been applied to CT im...
Artifacts Radiation Dosage Signal-To-Noise Ratio Radiography, Thoracic Child Contrast Media Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Humans Female Radiography, Abdominal Retrospective Studies Male Infant Deep Learning Adolescent Child, Preschool
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The reporting quality of natural language processing studies: systematic review of studies of radiology reports.

BMC medical imaging Oct 2, 2021
BACKGROUND: Automated language analysis of radiology reports using natural language processing (NLP) can provide valuable information on patients' health and disease. With its rapid development, NLP studies should have transparent methodology to allo...
Radiography Radiology Research Report Datasets as Topic Humans Reproducibility of Results Natural Language Processing
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An automated liver segmentation in liver iron concentration map using fuzzy c-means clustering combined with anatomical landmark data.

BMC medical imaging Sep 28, 2021
BACKGROUND: To estimate median liver iron concentration (LIC) calculated from magnetic resonance imaging, excluded vessels of the liver parenchyma region were defined manually. Previous works proposed the automated method for excluding vessels from t...
Fuzzy Logic Liver Iron beta-Thalassemia Male Adolescent Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Pattern Recognition, Automated Humans Algorithms Female Young Adult
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Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network.

BMC medical imaging Sep 4, 2021
BACKGROUND: We aimed to construct an artificial intelligence (AI) guided identification of suspicious bone metastatic lesions from the whole-body bone scintigraphy (WBS) images by convolutional neural networks (CNNs).
Retrospective Studies Female Sensitivity and Specificity Male Humans Neural Networks, Computer Bone and Bones Radionuclide Imaging Middle Aged Diagnosis, Computer-Assisted Bone Neoplasms
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Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement.

BMC medical imaging Aug 13, 2021
BACKGROUND: Accurate measurement of hemorrhage volume is critical for both the prediction of prognosis and the selection of appropriate clinical treatment after spontaneous intracerebral hemorrhage (ICH). This study aimed to evaluate the performance ...
Deep Learning Cerebral Hemorrhage Acute Disease Cerebral Intraventricular Hemorrhage Male Middle Aged Tomography, X-Ray Computed Diagnosis, Computer-Assisted Female Aged Adult Humans Retrospective Studies
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An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs.

BMC medical imaging Aug 13, 2021
BACKGROUND: Panoramic radiography is an imaging method for displaying maxillary and mandibular teeth together with their supporting structures. Panoramic radiography is frequently used in dental imaging due to its relatively low radiation dose, short...
Humans Neural Networks, Computer Algorithms Sensitivity and Specificity Deep Learning Radiography, Panoramic Datasets as Topic Tooth
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Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans.

BMC medical imaging Aug 12, 2021
BACKGROUND: To assess the potential of radiomic features to quantify components of blood in intraaortic vessels to non-invasively predict moderate-to-severe anemia in non-contrast enhanced CT scans.
Image Interpretation, Computer-Assisted Aorta Young Adult Adult Male Middle Aged Decision Trees Hemoglobins Hematocrit Tomography, X-Ray Computed Anemia Humans Female Machine Learning Aged Aged, 80 and over
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dSPIC: a deep SPECT image classification network for automated multi-disease, multi-lesion diagnosis.

BMC medical imaging Aug 11, 2021
BACKGROUND: Functional imaging especially the SPECT bone scintigraphy has been accepted as the effective clinical tool for diagnosis, treatment, evaluation, and prevention of various diseases including metastasis. However, SPECT imaging is brightly c...
Bone and Bones Tomography, Emission-Computed, Single-Photon Whole Body Imaging Neural Networks, Computer ROC Curve Image Interpretation, Computer-Assisted Datasets as Topic Humans
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Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy.

BMC medical imaging Jul 23, 2021
BACKGROUND: The aim of this study was to investigate the potential use of renal ultrasonography radiomics features in the histologic classification of glomerulopathy.
Ultrasonography Glomerulonephritis Female ROC Curve Logistic Models Humans Adult Kidney Diagnosis, Differential Machine Learning Male Glomerulonephritis, IGA Algorithms Middle Aged Glomerulonephritis, Membranous
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Three-stage segmentation of lung region from CT images using deep neural networks.

BMC medical imaging Jul 15, 2021
BACKGROUND: Lung region segmentation is an important stage of automated image-based approaches for the diagnosis of respiratory diseases. Manual methods executed by experts are considered the gold standard, but it is time consuming and the accuracy i...
Algorithms Tomography, X-Ray Computed Lung Deep Learning Humans Lung Diseases Neural Networks, Computer
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