AIMC Topic: Thorax

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COVID-19 detection using federated machine learning.

PloS one Jun 8, 2021
The current COVID-19 pandemic threatens human life, health, and productivity. AI plays an essential role in COVID-19 case classification as we can apply machine learning models on COVID-19 case data to predict infectious cases and recovery rates usin...
Datasets as Topic Thorax Computer Simulation Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Machine Learning COVID-19
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COVID-19 diagnosis by routine blood tests using machine learning.

Scientific reports May 24, 2021
Physicians taking care of patients with COVID-19 have described different changes in routine blood parameters. However, these changes hinder them from performing COVID-19 diagnoses. We constructed a machine learning model for COVID-19 diagnosis that ...
Biomarkers Tomography, X-Ray Computed Female SARS-CoV-2 Humans Machine Learning COVID-19 Eosinophils Thorax Serum Albumin Prothrombin Hematologic Tests Severity of Illness Index Aged ROC Curve Sensitivity and Specificity Area Under Curve Male
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Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images and low-keV contrast-enhanced vessel maps.

European radiology May 19, 2021
OBJECTIVES: To develop a deep learning-based pulmonary vessel segmentation algorithm (DLVS) from noncontrast chest CT and to investigate its clinical implications in assessing vascular remodeling of chronic obstructive lung disease (COPD) patients.
Humans Algorithms Computed Tomography Angiography Tomography, X-Ray Computed Deep Learning Thorax
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COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images.

Scientific reports May 10, 2021
Chest-X ray (CXR) radiography can be used as a first-line triage process for non-COVID-19 patients with pneumonia. However, the similarity between features of CXR images of COVID-19 and pneumonia caused by other infections makes the differential diag...
Humans Machine Learning ROC Curve Diagnosis, Differential Radiography, Thoracic Thorax COVID-19 Reproducibility of Results SARS-CoV-2
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Exploiting Global Structure Information to Improve Medical Image Segmentation.

Sensors (Basel, Switzerland) May 7, 2021
In this paper, we propose a method to enhance the performance of segmentation models for medical images. The method is based on convolutional neural networks that learn the global structure information, which corresponds to anatomical structures in m...
Neural Networks, Computer Image Processing, Computer-Assisted Thorax
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ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans.

PloS one May 7, 2021
The development of medical assisting tools based on artificial intelligence advances is essential in the global fight against COVID-19 outbreak and the future of medical systems. In this study, we introduce ai-corona, a radiologist-assistant deep lea...
Reverse Transcriptase Polymerase Chain Reaction ROC Curve Pneumonia SARS-CoV-2 Sensitivity and Specificity Deep Learning Thorax Area Under Curve Radiologists RNA, Viral Humans COVID-19 Databases, Factual Tomography, X-Ray Computed
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Deep learning in structural and functional lung image analysis.

The British journal of radiology Apr 20, 2021
The recent resurgence of deep learning (DL) has dramatically influenced the medical imaging field. Medical image analysis applications have been at the forefront of DL research efforts applied to multiple diseases and organs, including those of the l...
Deep Learning Image Processing, Computer-Assisted Workflow Thorax Humans Lung
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Automated mapping and N-Staging of thoracic lymph nodes in contrast-enhanced CT scans of the chest using a fully convolutional neural network.

European journal of radiology Apr 20, 2021
PURPOSE: To develop a deep-learning (DL)-based approach for thoracic lymph node (LN) mapping based on their anatomical location.
Humans Neural Networks, Computer Thorax Artificial Intelligence Tomography, X-Ray Computed Lymph Nodes
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Diagnostic performance of artificial intelligence model for pneumonia from chest radiography.

PloS one Apr 15, 2021
OBJECTIVE: The chest X-ray (CXR) is the most readily available and common imaging modality for the assessment of pneumonia. However, detecting pneumonia from chest radiography is a challenging task, even for experienced radiologists. An artificial in...
Pneumonia Area Under Curve Tertiary Care Centers Thorax Male Middle Aged ROC Curve Female Aged Adult Humans Artificial Intelligence Tomography, X-Ray Computed
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Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks.

BMC medical imaging Apr 13, 2021
BACKGROUND: In oncology, the correct determination of nodal metastatic disease is essential for patient management, as patient treatment and prognosis are closely linked to the stage of the disease. The aim of the study was to develop a tool for auto...
Thorax Mediastinum Carcinoma, Bronchogenic Lung Neoplasms Lymph Nodes Lymphatic Metastasis Contrast Media Axilla Datasets as Topic Male Middle Aged Deep Learning Female Aged Adult Neural Networks, Computer Tomography, X-Ray Computed Humans
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