AIMC Topic: Radiography

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[Radiomics-AI-based image analysis].

Der Pathologe Dec 1, 2019
Radiomics deals with the statistical analysis of radiologic image data. In this article, radiomics is introduced and some of its applications are presented. In particular, an example is used to demonstrate that pathology and radiology can work togeth...
Humans Radiology Radiographic Image Interpretation, Computer-Assisted Technology, Radiologic Artificial Intelligence Deep Learning Radiography
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[Natural language processing in radiology : Neither trivial nor impossible].

Der Radiologe Sep 1, 2019
BACKGROUND: The need for application expertise in natural language processing (NLP) is increasing in radiology. This way, in a complementary fashion to structured reporting using templates, the necessary database for quality assurance and continuous ...
Radiography Radiology Natural Language Processing
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Development and Validation of a Deep Learning-based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America Aug 16, 2019
BACKGROUND: Detection of active pulmonary tuberculosis on chest radiographs (CRs) is critical for the diagnosis and screening of tuberculosis. An automated system may help streamline the tuberculosis screening process and improve diagnostic performan...
Humans Automation Thorax Aged ROC Curve Algorithms Male Adult Radiography Female Middle Aged Sensitivity and Specificity Tuberculosis, Pulmonary Deep Learning
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Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning.

Journal of digital imaging Aug 1, 2019
Assess the efficacy of deep convolutional neural networks (DCNNs) in detection of critical enteric feeding tube malpositions on radiographs. 5475 de-identified HIPAA compliant frontal view chest and abdominal radiographs were obtained, consisting of ...
Radiography, Thoracic Enteral Nutrition Radiography, Abdominal Medical Errors Deep Learning Image Processing, Computer-Assisted Radiography Humans Neural Networks, Computer
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Effectiveness of Deep Learning Algorithms to Determine Laterality in Radiographs.

Journal of digital imaging Aug 1, 2019
Develop a highly accurate deep learning model to reliably classify radiographs by laterality. Digital Imaging and Communications in Medicine (DICOM) data for nine body parts was extracted retrospectively. Laterality was determined directly if encoded...
Humans Algorithms Radiography Datasets as Topic Functional Laterality Sensitivity and Specificity Deep Learning Image Processing, Computer-Assisted Retrospective Studies Reproducibility of Results
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Ankle Fracture Detection Utilizing a Convolutional Neural Network Ensemble Implemented with a Small Sample, De Novo Training, and Multiview Incorporation.

Journal of digital imaging Aug 1, 2019
To determine whether we could train convolutional neural network (CNN) models de novo with a small dataset, a total of 596 normal and abnormal ankle cases were collected and processed. Single- and multiview models were created to determine the effect...
Datasets as Topic Ankle Ankle Fractures Radiography Humans Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Sensitivity and Specificity
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Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model.

Journal of digital imaging Aug 1, 2019
Despite the well-established impact of sex and sex hormones on bone structure and density, there has been limited description of sexual dimorphism in the hand and wrist in the literature. We developed a deep convolutional neural network (CNN) model t...
Adolescent Child, Preschool Child Middle Aged Deep Learning Hand Sex Characteristics Image Processing, Computer-Assisted Radiography Wrist Humans Female Aged Young Adult Adult Male
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Variations on Branding with Text Occurrence for Optimized Body Parts Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The aim of this paper is to combine automatically generated image keywords with radiographs, thus enabling an enriched multi-modal image representation for body part classification. The proposed method could also be used to incorporate meta data into...
Humans Radiography Neural Networks, Computer Human Body Deep Learning Records
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Classification of radiographic lung pattern based on texture analysis and machine learning.

Journal of veterinary science Jul 1, 2019
This study evaluated the feasibility of using texture analysis and machine learning to distinguish radiographic lung patterns. A total of 1200 regions of interest (ROIs) including four specific lung patterns (normal, alveolar, bronchial, and unstruct...
Female Animals Male Machine Learning Algorithms Radiography Dogs Lung Cats ROC Curve Area Under Curve
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[Application of Artificial Intelligence in Radiology].

Gan to kagaku ryoho. Cancer & chemotherapy Mar 1, 2019
Artificial intelligence has attracted attention in the various field as an advanced information technology. Regarding to the radiology, many artificial intelligence technologies have been introduced to the computer aided diagnosis technologies such a...
Humans Lung Neoplasms Artificial Intelligence Radiography Radiology
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