AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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New one-step model of breast tumor locating based on deep learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Breast cancer has the highest cancer prevalence rate among the women worldwide. Early detection of breast cancer is crucial for successful treatment and reducing cancer mortality rate. However, tumor detection of breast ultrasound (US) im...
Breast Mammography Radiographic Image Interpretation, Computer-Assisted Ultrasonography, Mammary Humans Neural Networks, Computer Algorithms Female Breast Neoplasms Deep Learning Image Processing, Computer-Assisted
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Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Deep learning has made spectacular achievements in analysing natural images, but it faces challenges for medical applications partly due to inadequate images.
Humans Databases, Factual Tomography, X-Ray Computed Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Lung Deep Learning ROC Curve
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Breast mass detection and diagnosis using fused features with density.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: The morbidity of breast cancer has been increased in these years and ranked the first of all female diseases. Computer-aided diagnosis techniques for mammograms can help radiologists find early breast lesions. In mammograms, the degree of...
Humans Unsupervised Machine Learning Mammography Radiographic Image Interpretation, Computer-Assisted Adult Databases, Factual Breast Neoplasms Female Middle Aged Aged Breast ROC Curve
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Expert knowledge-infused deep learning for automatic lung nodule detection.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Computer aided detection (CADe) of pulmonary nodules from computed tomography (CT) is crucial for early diagnosis of lung cancer. Self-learned features obtained by training datasets via deep learning have facilitated CADe of the nodules. ...
Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Knowledge Bases Sensitivity and Specificity Humans Deep Learning Neural Networks, Computer Lung Neoplasms Tomography, X-Ray Computed
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Evaluation of an AI-Based Detection Software for Acute Findings in Abdominal Computed Tomography Scans: Toward an Automated Work List Prioritization of Routine CT Examinations.

Investigative radiology Jan 1, 2019
OBJECTIVE: The aim of this study was to test the diagnostic performance of a deep learning-based triage system for the detection of acute findings in abdominal computed tomography (CT) examinations.
Humans Artificial Intelligence Algorithms Tomography, X-Ray Computed Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Radiology Information Systems Radiography, Abdominal
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3D deep learning for detecting pulmonary nodules in CT scans.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: To demonstrate and test the validity of a novel deep-learning-based system for the automated detection of pulmonary nodules.
ROC Curve Multiple Pulmonary Nodules Lung Humans Solitary Pulmonary Nodule Diagnosis, Computer-Assisted Deep Learning Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity
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Prediction of Response to Stereotactic Radiosurgery for Brain Metastases Using Convolutional Neural Networks.

Anticancer research Sep 1, 2018
BACKGROUND: It is unclear whether radiomic phenotypes of brain metastases (BM) are related to radiation therapy prognosis. This study assessed whether a convolutional neural network (CNN)-based radiomics model which learned computer tomography (CT) i...
Tomography, X-Ray Computed Clinical Decision-Making Female Reproducibility of Results Aged Aged, 80 and over Young Adult Humans Neural Networks, Computer Machine Learning Decision Support Techniques Treatment Outcome Radiosurgery Middle Aged Predictive Value of Tests Adolescent Area Under Curve Time Factors Radiographic Image Interpretation, Computer-Assisted ROC Curve Adult Brain Neoplasms Male
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Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium.

Circulation. Cardiovascular imaging Jun 1, 2018
BACKGROUND: Coronary computed tomographic angiography (CTA) is a reliable modality to detect coronary artery disease. However, CTA generally overestimates stenosis severity compared with invasive angiography, and angiographic stenosis does not necess...
Europe Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Severity of Illness Index Deep Learning United States Coronary Stenosis Fractional Flow Reserve, Myocardial Coronary Artery Disease Prospective Studies Humans Coronary Vessels Reproducibility of Results Retrospective Studies Asia Female Aged Computed Tomography Angiography Male Middle Aged
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Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems.

IEEE transactions on medical imaging Jun 1, 2018
In this paper, we present a new deep learning framework for 3-D tomographic reconstruction. To this end, we map filtered back-projection-type algorithms to neural networks. However, the back-projection cannot be implemented as a fully connected layer...
Humans Algorithms Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted
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[Clinical analysis of spectrum CT imaging reducing metal artifacts of oral and maxillofacial region].

Shanghai kou qiang yi xue = Shanghai journal of stomatology Dec 1, 2017
PURPOSE: To assess the capability of monochromatic energy images of gemstone spectral imaging(GSI) by using spectral CT in reducing metal artifacts of oral and maxillofacial region.
Radiographic Image Interpretation, Computer-Assisted Humans Dental Implants Tomography, X-Ray Computed Artifacts Metals
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