AIMC Topic: X-Rays

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AI-Assisted Tuberculosis Detection and Classification from Chest X-Rays Using a Deep Learning Normalization-Free Network Model.

Computational intelligence and neuroscience Oct 3, 2022
Tuberculosis (TB) is an airborne disease caused by . It is imperative to detect cases of TB as early as possible because if left untreated, there is a 70% chance of a patient dying within 10 years. The necessity for supplementary tools has increased ...
Artificial Intelligence X-Rays Deep Learning Algorithms Tuberculosis Humans
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Deep Learning Models for Classification of Dental Diseases Using Orthopantomography X-ray OPG Images.

Sensors (Basel, Switzerland) Sep 28, 2022
The teeth are the most challenging material to work with in the human body. Existing methods for detecting teeth problems are characterised by low efficiency, the complexity of the experiential operation, and a higher level of user intervention. Olde...
X-Rays Tooth Radiography, Panoramic Stomatognathic Diseases Deep Learning Humans
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Feasibility study of deep-learning-based bone suppression incorporated with single-energy material decomposition technique in chest X-rays.

The British journal of radiology Sep 19, 2022
OBJECTIVE: To improve the detection of lung abnormalities in chest X-rays by accurately suppressing overlapping bone structures in the lung area. According to literature on missed lung cancer in chest X-rays, such structures are a significant cause o...
Humans Algorithms Feasibility Studies Deep Learning X-Rays Radiography
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Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning.

Nature biomedical engineering Sep 15, 2022
In tasks involving the interpretation of medical images, suitably trained machine-learning models often exceed the performance of medical experts. Yet such a high-level of performance typically requires that the models be trained with relevant datase...
Machine Learning Supervised Machine Learning X-Rays
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Prescreening and Triage of COVID-19 Patients Through Chest X-Ray Images Using Deep Learning Model.

Big data Sep 13, 2022
Deep learning models deliver a fast diagnosis during triage prescreening for COVID-19 patients, reducing waiting time for hospital admission during health emergency scenarios. The Ministry of health and family welfare government of India provides gui...
India Triage COVID-19 Deep Learning Oxygen X-Rays Humans
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A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques.

Computer methods and programs in biomedicine Sep 12, 2022
BACKGROUND AND OBJECTIVE: COVID-19 outbreak has become one of the most challenging problems for human being. It is a communicable disease caused by a new coronavirus strain, which infected over 375 million people already and caused almost 6 million d...
Humans COVID-19 Early Diagnosis Speech SARS-CoV-2 X-Rays Deep Learning Cough
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Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray.

Computers in biology and medicine Sep 10, 2022
BACKGROUND AND OBJECTIVE: Automatic segmentation and annotation of medical image plays a critical role in scientific research and the medical care community. Automatic segmentation and annotation not only increase the efficiency of clinical workflow,...
Attention X-Rays Radiography Neural Networks, Computer Image Processing, Computer-Assisted
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Enhanced detection of threat materials by dark-field x-ray imaging combined with deep neural networks.

Nature communications Sep 9, 2022
X-ray imaging has been boosted by the introduction of phase-based methods. Detail visibility is enhanced in phase contrast images, and dark-field images are sensitive to inhomogeneities on a length scale below the system's spatial resolution. Here we...
Neural Networks, Computer Machine Learning Microscopy, Phase-Contrast Radiography X-Rays
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Automatic Detection of Cases of COVID-19 Pneumonia from Chest X-ray Images and Deep Learning Approaches.

Computational intelligence and neuroscience Sep 6, 2022
Machine learning has already been used as a resource for disease detection and health care as a complementary tool to help with various daily health challenges. The advancement of deep learning techniques and a large amount of data-enabled algorithms...
Tomography, X-Ray Computed SARS-CoV-2 X-Rays Deep Learning Neural Networks, Computer Humans Pneumonia COVID-19
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COVID-19 diagnosis via chest X-ray image classification based on multiscale class residual attention.

Computers in biology and medicine Sep 1, 2022
Aiming at detecting COVID-19 effectively, a multiscale class residual attention (MCRA) network is proposed via chest X-ray (CXR) image classification. First, to overcome the data shortage and improve the robustness of our network, a pixel-level image...
COVID-19 Testing COVID-19 Deep Learning Humans X-Rays Disease Progression Attention
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