AIMC Topic: X-Rays

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Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data.

Scientific reports Sep 1, 2022
With the rise and ever-increasing potential of deep learning techniques in recent years, publicly available medical datasets became a key factor to enable reproducible development of diagnostic algorithms in the medical domain. Medical data contains ...
Humans Pandemics Deep Learning Biometry X-Rays COVID-19 SARS-CoV-2
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COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization.

Frontiers in public health Aug 30, 2022
Coronavirus disease 2019 (COVID-19) is a highly contagious disease that has claimed the lives of millions of people worldwide in the last 2 years. Because of the disease's rapid spread, it is critical to diagnose it at an early stage in order to redu...
COVID-19 Deep Learning Humans X-Rays Animals Neural Networks, Computer Moths
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CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images.

Artificial intelligence in medicine Aug 27, 2022
Chest X-ray (CXR) imaging is one of the most common diagnostic imaging techniques in clinical diagnosis and is usually used for radiological examinations to screen for thorax diseases. In this paper, we propose a novel computer-aided diagnosis (CAD) ...
Diagnosis, Computer-Assisted Deep Learning Thorax X-Rays Neural Networks, Computer
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Development of a computer-aided quality assurance support system for identifying hand X-ray image direction using deep convolutional neural network.

Radiological physics and technology Aug 24, 2022
The convenience of imaging has improved with digitization; however, there has been no progress in the methods used to prevent human error. Therefore, radiographic incidents and accidents are not prevented. In Japan, image interpretation is conducted ...
Image Processing, Computer-Assisted Computers Radiography X-Rays Humans Tomography, X-Ray Computed Neural Networks, Computer
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Deep learning-based dental implant recognition using synthetic X-ray images.

Medical & biological engineering & computing Aug 18, 2022
A novel algorithm for generating artificial training samples from triangulated three-dimensional (3D) surface models within the context of dental implant recognition is proposed. The proposed algorithm is based on the calculation of two-dimensional (...
X-Rays Deep Learning Dental Implants Algorithms
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Development of deep learning chest X-ray model for cardiac dose prediction in left-sided breast cancer radiotherapy.

Scientific reports Aug 12, 2022
Deep inspiration breath-hold (DIBH) is widely used to reduce the cardiac dose in left-sided breast cancer radiotherapy. This study aimed to develop a deep learning chest X-ray model for cardiac dose prediction to select patients with a potentially hi...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Heart Organs at Risk Unilateral Breast Neoplasms X-Rays Breath Holding Female Breast Neoplasms Middle Aged Deep Learning Humans
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Pneumonia Detection in Chest X-Ray Images Using Enhanced Restricted Boltzmann Machine.

Journal of healthcare engineering Aug 12, 2022
The process of pneumonia detection has been the focus of researchers as it has proved itself to be one of the most dangerous and life-threatening disorders. In recent years, many machine learning and deep learning algorithms have been applied in an a...
ROC Curve Pneumonia Humans X-Rays Machine Learning Algorithms
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Masked Joint Bilateral Filtering via Deep Image Prior for Digital X-Ray Image Denoising.

IEEE journal of biomedical and health informatics Aug 11, 2022
Medical image denoising faces great challenges. Although deep learning methods have shown great potential, their efficiency is severely affected by millions of trainable parameters. The non-linearity of neural networks also makes them difficult to be...
Humans Signal-To-Noise Ratio X-Rays Neural Networks, Computer Image Processing, Computer-Assisted
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Multiclass Classification for Detection of COVID-19 Infection in Chest X-Rays Using CNN.

Computational intelligence and neuroscience Aug 11, 2022
Coronavirus took the world by surprise and caused a lot of trouble in all the important fields in life. The complexity of dealing with coronavirus lies in the fact that it is highly infectious and is a novel virus which is hard to detect with exact p...
Neural Networks, Computer COVID-19 X-Rays Deep Learning Humans Pneumonia
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BRAX, Brazilian labeled chest x-ray dataset.

Scientific data Aug 10, 2022
Chest radiographs allow for the meticulous examination of a patient's chest but demands specialized training for proper interpretation. Automated analysis of medical imaging has become increasingly accessible with the advent of machine learning (ML) ...
Humans X-Rays Natural Language Processing Algorithms Radiography, Thoracic Brazil
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