AIMC Topic: X-Rays

Clear Filters Showing 401 to 410 of 447 articles

Chest X-ray Analysis With Deep Learning-Based Software as a Triage Test for Pulmonary Tuberculosis: An Individual Patient Data Meta-Analysis of Diagnostic Accuracy.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America Apr 28, 2022
BACKGROUND: Automated radiologic analysis using computer-aided detection software (CAD) could facilitate chest X-ray (CXR) use in tuberculosis diagnosis. There is little to no evidence on the accuracy of commercially available deep learning-based CAD...
Deep Learning HIV Infections Software Sensitivity and Specificity Tuberculosis, Pulmonary X-Rays Triage Tuberculosis Humans
View on PubMed DOI

The Delta Robot-A long travel nano-positioning stage for scanning x-ray microscopy.

The Review of scientific instruments Apr 1, 2022
A new stage design concept, the Delta Robot, is presented, which is a parallel kinematic design for scanning x-ray microscopy applications. The stage employs three orthogonal voice coils, which actuate parallelogram flexures. The design has a 3 mm tr...
Radiography X-Rays Microscopy Computer Simulation Robotics
View on PubMed DOI

Incremental learning for detection in X-ray luggage perspective images.

Applied optics Feb 20, 2022
Convolutional neural networks have achieved remarkable results in the detection of X-ray luggage contraband. However, with an increase in contraband classes and substantial artificial transformation, the offline network training method has been unabl...
Neural Networks, Computer X-Rays
View on PubMed DOI

Experimental performance of deep learning channel estimation for an X-ray communication-based OFDM-PWM system.

Optics letters Feb 1, 2022
A deep learning channel estimation scheme in orthogonal frequency division multiplexing for X-ray communication (XCOM) is studied. The scheme uses simulated and detected data obtained with different working parameters and numbers of pilots as trainin...
Communication Deep Learning Neural Networks, Computer X-Rays
View on PubMed DOI

CNN Features and Optimized Generative Adversarial Network for COVID-19 Detection from Chest X-Ray Images.

Critical reviews in biomedical engineering Jan 1, 2022
Coronavirus is a RNA type virus, which makes various respiratory infections in both human as well as animals. In addition, it could cause pneumonia in humans. The Coronavirus affected patients has been increasing day to day, due to the wide spread of...
Deep Learning Water X-Rays Neural Networks, Computer Humans COVID-19
View on PubMed DOI

Detection of COVID-19 Infection in CT and X-ray images using transfer learning approach.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2022
BACKGROUND: The infection caused by the SARS-CoV-2 (COVID-19) pandemic is a threat to human lives. An early and accurate diagnosis is necessary for treatment.
Tomography, X-Ray Computed SARS-CoV-2 Humans COVID-19 Deep Learning X-Rays
View on PubMed DOI

Automatic Localization and Identification of Thoracic Diseases from Chest X-rays with Deep Learning.

Current medical imaging Jan 1, 2022
BACKGROUND: There are numerous difficulties in using deep learning to automatically locate and identify diseases in chest X-rays (CXR). The most prevailing two are the lack of labeled data of disease locations and poor model transferability between d...
Thoracic Diseases Radiography, Thoracic Humans X-Rays Radiographic Image Interpretation, Computer-Assisted Deep Learning
View on PubMed DOI

Optimized chest X-ray image semantic segmentation networks for COVID-19 early detection.

Journal of X-ray science and technology Jan 1, 2022
BACKGROUND: Although detection of COVID-19 from chest X-ray radiography (CXR) images is faster than PCR sputum testing, the accuracy of detecting COVID-19 from CXR images is lacking in the existing deep learning models.
Humans X-Rays COVID-19 Radiography Deep Learning SARS-CoV-2 Semantics
View on PubMed DOI

AI-driven deep convolutional neural networks for chest X-ray pathology identification.

Journal of X-ray science and technology Jan 1, 2022
BACKGROUND: Chest X-ray images are widely used to detect many different lung diseases. However, reading chest X-ray images to accurately detect and classify different lung diseases by doctors is often difficult with large inter-reader variability. Th...
X-Rays SARS-CoV-2 Deep Learning Algorithms Humans Neural Networks, Computer COVID-19
View on PubMed DOI

[Evaluation of Radiograph Accuracy in Skull X-ray Images Using Deep Learning].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2022
PURPOSE: Accurate positioning is essential for radiography, and it is especially important to maintain image reproducibility in follow-up observations. The decision on re-taking radiographs is entrusting to the individual radiological technologist. T...
X-Rays Skull Reproducibility of Results Deep Learning Radiography
View on PubMed DOI
Popular Topics
Recent Journals