AIMC Topic: Tomography, X-Ray Computed

Clear Filters Showing 3361 to 3370 of 5128 articles

2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma.

Scientific reports Sep 24, 2020
For treatment individualisation of patients with locally advanced head and neck squamous cell carcinoma (HNSCC) treated with primary radiochemotherapy, we explored the capabilities of different deep learning approaches for predicting loco-regional tu...
Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Female Prospective Studies Prognosis Head and Neck Neoplasms Male Follow-Up Studies Middle Aged Neoplasm Recurrence, Local Image Processing, Computer-Assisted Tumor Burden Chemoradiotherapy Squamous Cell Carcinoma of Head and Neck Aged Aged, 80 and over Adult Survival Rate
View on PubMed DOI

Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.

International journal of medical informatics Sep 23, 2020
OBJECTIVE: This study aims to develop and test a new computer-aided diagnosis (CAD) scheme of chest X-ray images to detect coronavirus (COVID-19) infected pneumonia.
Radiography, Thoracic Tomography, X-Ray Computed SARS-CoV-2 Humans Diagnosis, Computer-Assisted Neural Networks, Computer Deep Learning COVID-19 Algorithms
View on PubMed DOI

Deep learning-based synthetic CT generation for paediatric brain MR-only photon and proton radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 23, 2020
BACKGROUND AND PURPOSE: To enable accurate magnetic resonance imaging (MRI)-based dose calculations, synthetic computed tomography (sCT) images need to be generated. We aim at assessing the feasibility of dose calculations from MRI acquired with a he...
Radiotherapy Dosage Protons Deep Learning Child Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Humans Brain Tomography, X-Ray Computed
View on PubMed DOI

Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation.

The Lancet. Digital health Sep 22, 2020
BACKGROUND: Prompt identification of patients suspected to have COVID-19 is crucial for disease control. We aimed to develop a deep learning algorithm on the basis of chest CT for rapid triaging in fever clinics.
Lung Severity of Illness Index Deep Learning China Aged Adult Triage Humans Male COVID-19 Middle Aged Algorithms Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results
View on PubMed DOI

CT scan AI-aided triage for patients with COVID-19 in China.

The Lancet. Digital health Sep 22, 2020
Triage Retrospective Studies Tomography, X-Ray Computed SARS-CoV-2 Humans Deep Learning Pandemics China COVID-19
View on PubMed DOI

COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images.

Interdisciplinary sciences, computational life sciences Sep 21, 2020
The novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a major pandemic outbreak recently. Various diagnostic technologies have been under active development. The novel coronavirus disease (COVID-19) may induce ...
Pneumonia, Viral Coronavirus Radiography Models, Biological Coronavirus Infections Reference Values X-Rays Clinical Laboratory Techniques Betacoronavirus COVID-19 Testing Datasets as Topic SARS-CoV-2 Lung Deep Learning Pneumonia COVID-19 Algorithms Neural Networks, Computer Databases, Factual Machine Learning Tomography, X-Ray Computed Humans Pandemics
View on PubMed DOI

Atherosclerotic Plaque Burden on Abdominal CT: Automated Assessment With Deep Learning on Noncontrast and Contrast-enhanced Scans.

Academic radiology Sep 18, 2020
BACKGROUND: Abdominal aortic atherosclerotic plaque burden may have clinical significance but manual measurement is time-consuming and impractical.
Deep Learning Abdomen Aorta, Abdominal Plaque, Atherosclerotic Humans Tomography, X-Ray Computed
View on PubMed DOI

Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks.

European radiology Sep 18, 2020
OBJECTIVES: Body tissue composition is a long-known biomarker with high diagnostic and prognostic value not only in cardiovascular, oncological, and orthopedic diseases but also in rehabilitation medicine or drug dosage. In this study, the aim was to...
Abdomen Humans Body Composition Neural Networks, Computer Semantics Tomography, X-Ray Computed Image Processing, Computer-Assisted
View on PubMed DOI

Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients.

European radiology Sep 18, 2020
OBJECTIVE: To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19.
Comorbidity Artificial Intelligence Severity of Illness Index COVID-19 Deep Learning Female Prognosis Humans SARS-CoV-2 Retrospective Studies Coronary Artery Disease Hospitalization Aged Radiography Age Factors Proportional Hazards Models Sex Factors Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Emergency Service, Hospital Radiography, Thoracic Male Intensive Care Units Italy Mortality Middle Aged Neurodegenerative Diseases
View on PubMed DOI

Artificial Intelligence and Deep Learning in Neuroradiology: Exploring the New Frontier.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Sep 18, 2020
There have been many recently published studies exploring machine learning (ML) and deep learning applications within neuroradiology. The improvement in performance of these techniques has resulted in an ever-increasing number of commercially availab...
Magnetic Resonance Imaging Radiology Image Interpretation, Computer-Assisted Neurology Neuroradiography Humans Artificial Intelligence Tomography, X-Ray Computed Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals