AIMC Topic: X-Rays

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A relation-based framework for effective teeth recognition on dental periapical X-rays.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Dental periapical X-rays are used as a popular tool by dentists for diagnosis. To provide dentists with diagnostic support, in this paper, we achieve automated teeth recognition of dental periapical X-rays by using deep learning techniques, including...

Artificial intelligence X-ray measurement technology of anatomical parameters related to lumbosacral stability.

European journal of radiology
PURPOSE: To develop a deep learning-based model for measuring automatic lumbosacral anatomical parameters from lateral lumbar radiographs and compare its performance to that of attending-level radiologists.

Artificial intelligence to diagnosis distal radius fracture using biplane plain X-rays.

Journal of orthopaedic surgery and research
BACKGROUND: Although the automatic diagnosis of fractures using artificial intelligence (AI) has recently been reported to be more accurate than those by orthopedics specialists, big data with at least 1000 images or more are required for deep learni...

A Hybrid Convolutional Neural Network Model for Diagnosis of COVID-19 Using Chest X-ray Images.

International journal of environmental research and public health
COVID-19 declared as a pandemic that has a faster rate of infection and has impacted the lives and the country's economy due to forced lockdowns. Its detection using RT-PCR is required long time and due to which its infection has grown exponentially....

Potential diagnosis of COVID-19 from chest X-ray and CT findings using semi-supervised learning.

Physical and engineering sciences in medicine
COVID-19 is an infectious disease, which has adversely affected public health and the economy across the world. On account of the highly infectious nature of the disease, rapid automated diagnosis of COVID-19 is urgently needed. A few recent findings...

MARnet: multi-scale adaptive residual neural network for chest X-ray images recognition of lung diseases.

Mathematical biosciences and engineering : MBE
Chest X-ray image is an important clinical diagnostic reference to lung diseases that is a serious threat to human health. At present, with the rapid development of computer vision and deep learning technology, many scholars have carried out the frui...

COVID-19 Screening in Chest X-Ray Images Using Lung Region Priors.

IEEE journal of biomedical and health informatics
Early screening of COVID-19 is essential for pandemic control, and thus to relieve stress on the health care system. Lung segmentation from chest X-ray (CXR) is a promising method for early diagnoses of pulmonary diseases. Recently, deep learning has...

A Novel COVID-19 Diagnosis Support System Using the Stacking Approach and Transfer Learning Technique on Chest X-Ray Images.

Journal of healthcare engineering
COVID-19 is an infectious disease-causing flu-like respiratory problem with various symptoms such as cough or fever, which in severe cases can cause pneumonia. The aim of this paper is to develop a rapid and accurate medical diagnosis support system ...

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images.

Computers in biology and medicine
Coronavirus disease-19 (COVID-19) is a severe respiratory viral disease first reported in late 2019 that has spread worldwide. Although some wealthy countries have made significant progress in detecting and containing this disease, most underdevelope...

Data Augmentation of Backscatter X-ray Images for Deep Learning-Based Automatic Cargo Inspection.

Sensors (Basel, Switzerland)
Custom inspection using X-ray imaging is a very promising application of modern pattern recognition technology. However, the lack of data or renewal of tariff items makes the application of such technology difficult. In this paper, we present a data ...