AIMC Topic: X-Rays
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Single-Cell Radiation Response Scoring with the Deep Learning Algorithm CeCILE 2.0.
Cells
Dec 7, 2023
External stressors, such as ionizing radiation, have massive effects on life, survival, and the ability of mammalian cells to divide. Different types of radiation have different effects. In order to understand these in detail and the underlying mecha...
Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study.
Journal of medical systems
Dec 4, 2023
PURPOSE: To develop two deep learning-based systems for diagnosing and localizing pneumothorax on portable supine chest X-rays (SCXRs).
A deep learning feature extraction-based hybrid approach for detecting pediatric pneumonia in chest X-ray images.
Physical and engineering sciences in medicine
Nov 22, 2023
Pneumonia is a disease caused by bacteria, viruses, and fungi that settle in the alveolar sacs of the lungs and can lead to serious health complications in humans. Early detection of pneumonia is necessary for early treatment to manage and cure the d...
Phase retrieval for X-ray differential phase contrast radiography with knowledge transfer learning from virtual differential absorption model.
Computers in biology and medicine
Nov 19, 2023
Grating-based X-ray phase contrast radiography and computed tomography (CT) are promising modalities for future medical applications. However, the ill-posed phase retrieval problem in X-ray phase contrast imaging has hindered its use for quantitative...
Cephalometric landmark detection without X-rays combining coordinate regression and heatmap regression.
Scientific reports
Nov 16, 2023
Fully automated techniques using convolutional neural networks for cephalometric landmark detection have recently advanced. However, all existing studies have adopted X-rays. The problem of direct exposure of patients to X-ray radiation remains unsol...
Pulmonary abnormality screening on chest x-rays from different machine specifications: a generalized AI-based image manipulation pipeline.
European radiology experimental
Nov 9, 2023
BACKGROUND: Chest x-ray is commonly used for pulmonary abnormality screening. However, since the image characteristics of x-rays highly depend on the machine specifications, an artificial intelligence (AI) model developed for specific equipment usual...
Multi-class deep learning architecture for classifying lung diseases from chest X-Ray and CT images.
Scientific reports
Nov 8, 2023
Medical imaging is considered a suitable alternative testing method for the detection of lung diseases. Many researchers have been working to develop various detection methods that have aided in the prevention of lung diseases. To better understand t...
How intra-source imbalanced datasets impact the performance of deep learning for COVID-19 diagnosis using chest X-ray images.
Scientific reports
Nov 3, 2023
Over the past decade, the use of deep learning has been widely increasing in the medical image diagnosis field. Deep learning-based methods' (DLMs) performance strongly relies on training data. Therefore, researchers often focus on collecting as much...
Screening the phytotoxicity of micro/nanoplastics through non-targeted metallomics with synchrotron radiation X-ray fluorescence and deep learning: Taking micro/nano polyethylene terephthalate as an example.
Journal of hazardous materials
Oct 28, 2023
Microplastics (MPs) and nanoplastics (NPs) are global pollutants with emerging concerns. Methods to predict and screen their toxicity are crucial. Elemental dyshomeostasis can be used to assess toxicity of environmental pollutants. Non-targeted metal...
Deep learning methods for blood flow reconstruction in a vessel with contrast enhanced x-ray computed tomography.
International journal for numerical methods in biomedical engineering
Oct 25, 2023
The reconstruction of blood velocity in a vessel from contrast enhanced x-ray computed tomography projections is a complex inverse problem. It can be formulated as reconstruction problem with a partial differential equation constraint. A solution can...
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