AIMC Topic: Tomography, X-Ray Computed

Clear Filters Showing 3471 to 3480 of 5128 articles

Histological Subtypes Classification of Lung Cancers on CT Images Using 3D Deep Learning and Radiomics.

Academic radiology Jul 1, 2020
RATIONALE AND OBJECTIVES: Histological subtypes of lung cancers are critical for clinical treatment decision. In this study, we attempt to use 3D deep learning and radiomics methods to automatically distinguish lung adenocarcinomas (ADC), squamous ce...
Male Middle Aged Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung Humans Retrospective Studies Tomography, X-Ray Computed Female
View on PubMed DOI

Pneumonia Detection in Chest X-Ray Dose-Equivalent CT: Impact of Dose Reduction on Detectability by Artificial Intelligence.

Academic radiology Jul 1, 2020
RATIONALE AND OBJECTIVES: There has been a significant increase of immunocompromised patients in recent years due to new treatment modalities for previously fatal diseases. This comes at the cost of an elevated risk for infectious diseases, most nota...
Deep Learning Multiple Pulmonary Nodules Pneumonia X-Rays Drug Tapering Artificial Intelligence Algorithms Retrospective Studies Tomography, X-Ray Computed Humans
View on PubMed DOI

Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects.

Journal of infection and public health Jul 1, 2020
This study presents a systematic review of artificial intelligence (AI) techniques used in the detection and classification of coronavirus disease 2019 (COVID-19) medical images in terms of evaluation and benchmarking. Five reliable databases, namely...
Decision Support Techniques Tomography, X-Ray Computed SARS-CoV-2 Humans Benchmarking Coronavirus Infections Artificial Intelligence Radiography, Thoracic Pandemics Betacoronavirus COVID-19 Pneumonia, Viral
View on PubMed DOI

Emphysema quantification using low-dose computed tomography with deep learning-based kernel conversion comparison.

European radiology Jun 29, 2020
OBJECTIVE: This study determined the effect of dose reduction and kernel selection on quantifying emphysema using low-dose computed tomography (LDCT) and evaluated the efficiency of a deep learning-based kernel conversion technique in normalizing ker...
Lung Diseases Pulmonary Emphysema Radiation Dosage Biometry Female Humans Middle Aged Aged Retrospective Studies Lung Cross-Sectional Studies Tomography, X-Ray Computed Diagnosis, Computer-Assisted Male Deep Learning Treatment Outcome
View on PubMed DOI

COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation.

Journal of medical Internet research Jun 29, 2020
BACKGROUND: Coronavirus disease (COVID-19) has spread explosively worldwide since the beginning of 2020. According to a multinational consensus statement from the Fleischner Society, computed tomography (CT) is a relevant screening tool due to its hi...
Tomography, X-Ray Computed Female SARS-CoV-2 Sensitivity and Specificity Male Humans Pandemics COVID-19 Pneumonia, Viral Middle Aged Deep Learning Coronavirus Infections Betacoronavirus
View on PubMed DOI

Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas.

European radiology Jun 27, 2020
OBJECTIVES: To evaluate the differential diagnostic performance of a computed tomography (CT)-based deep learning nomogram (DLN) in identifying tuberculous granuloma (TBG) and lung adenocarcinoma (LAC) presenting as solitary solid pulmonary nodules (...
Observer Variation Pattern Recognition, Automated Calibration Adenocarcinoma of Lung Diagnosis, Differential Granuloma Tuberculosis Sex Factors Diagnostic Tests, Routine Nomograms Age Factors Solitary Pulmonary Nodule Regression Analysis Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Female Adult Male Middle Aged Diagnosis, Computer-Assisted Deep Learning ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Logistic Models
View on PubMed DOI

Machine learning-based CT texture analysis to predict HPV status in oropharyngeal squamous cell carcinoma: comparison of 2D and 3D segmentation.

European radiology Jun 26, 2020
OBJECTIVE: To compare the CT texture feature reproducibility of 2D and 3D segmentations and their machine learning (ML)-based classifications for predicting human papilloma virus (HPV) status in oropharyngeal squamous cell carcinoma (OPSCC).
Regression Analysis Diagnosis, Differential Area Under Curve Observer Variation Humans Alphapapillomavirus Machine Learning Algorithms Retrospective Studies Imaging, Three-Dimensional Tomography, X-Ray Computed Image Processing, Computer-Assisted Female Papillomavirus Infections Reproducibility of Results Squamous Cell Carcinoma of Head and Neck Male Head and Neck Neoplasms
View on PubMed DOI

Efficiency of a computer-aided diagnosis (CAD) system with deep learning in detection of pulmonary nodules on 1-mm-thick images of computed tomography.

Japanese journal of radiology Jun 26, 2020
PURPOSE: To evaluate the performance of a deep learning-based computer-aided diagnosis (CAD) system at detecting pulmonary nodules on CT by comparing radiologists' readings with and without CAD.
Humans Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Deep Learning Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Lung Neoplasms Male Aged Multiple Pulmonary Nodules Middle Aged Aged, 80 and over Solitary Pulmonary Nodule Lung Young Adult Diagnosis, Computer-Assisted Adult
View on PubMed DOI

A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 25, 2020
Photoacoustic tomography (PAT) is a hybrid technique for high-resolution imaging of optical absorption in tissue. Among various transducer arrays proposed for PAT, the ring-shaped transducer array is widely used in cross-sectional imaging application...
Photoacoustic Techniques Tomography, X-Ray Computed Tomography Deep Learning Image Processing, Computer-Assisted Artifacts
View on PubMed DOI

Truncated inception net: COVID-19 outbreak screening using chest X-rays.

Physical and engineering sciences in medicine Jun 25, 2020
Since December 2019, the Coronavirus Disease (COVID-19) pandemic has caused world-wide turmoil in a short period of time, and the infection, caused by SARS-CoV-2, is spreading rapidly. AI-driven tools are used to identify Coronavirus outbreaks as wel...
ROC Curve Models, Statistical Coronavirus Infections Radiography, Thoracic Betacoronavirus Databases, Factual Tomography, X-Ray Computed SARS-CoV-2 Lung Pneumonia, Viral Humans Neural Networks, Computer Pandemics COVID-19
View on PubMed DOI
Popular Topics
Recent Journals