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EBL: Efficient background learning for x-ray security inspection
A significant issue in X-ray security inspection is that there are considerably more background images than foreground images. Although convolutional...
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Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans
Coronavirus, a virus that spread worldwide rapidly and was eventually declared a pandemic. The rapid spread made it essential to detect Coronavirus...
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Performance Analysis of Hyperparameters of Convolutional Neural Networks for COVID-19 X-ray Image Classification
Analysis of chest X-ray images of COVID infected patients is one of the important diagnostic strategies. The manual identification of these images...
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Multimodal Learning for Improving Performance and Explainability of Chest X-Ray Classification
Convolutional Neural Networks (CNNs) applied to medical imaging for disease diagnosis have not yet been widely adopted by radiologists due to the...
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Robust stochastic gradient descent with momentum based framework for enhanced chest X-ray image diagnosis
Our study focuses on the difficulties that radiologists encounter while interpreting Chest X-Ray images, which arise from the inherent ambiguity. We...
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Automatic tooth instance segmentation and identification from panoramic X-Ray images using deep CNN
Due to deep learning’s success in many medical applications, it is regarded as a significant technique for use in the area of dentistry, where...
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Evaluating Local Explainable AI Techniques for the Classification of Chest X-Ray Images
The great diffusion of convolutional neural networks and transformers for image classification made the demand for transparency of deep models more...
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Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting
The task of radiology reporting comprises describing and interpreting the medical findings in radiographic images, including description of their...
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UXDiff: Synthesis of X-Ray Image from Ultrasound Coronal Image of Spine with Diffusion Probabilistic Network
X-ray radiography with measurement of the Cobb angle is the gold standard for scoliosis diagnosis. However, cumulative exposure to ionizing radiation...
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Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae
Osteoporosis is a chronic disease that causes lower bone density and makes bones fragile. This severely impairs patient life qualities and increases...
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X-ray Testing
X-ray testing has been developed for the inspection of materials or objects, where the aim is to analyze—nondestructively—those inner parts that are...
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X-ray PCB defect automatic diagnosis algorithm based on deep learning and artificial intelligence
As a main electronic material, X-ray circuits are widely used in various electronic devices, and their quality has an important impact on the overall...
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An X-ray image classification method with fine-grained features for explainable diagnosis of pneumoconiosis
Medical image classification has become popular in computer-aided diagnosis (CAD) of pneumoconiosis. However, most current work focuses on improving...
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Cross-View Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-Ray Pair
Hip fractures are a common cause of morbidity and mortality and are usually diagnosed from the X-ray images in clinical routine. Deep learning has...
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COVID-19 and pneumonia diagnosis from chest X-ray images using convolutional neural networks
X-ray is a useful imaging modality widely utilized for diagnosing COVID-19 virus that infected a high number of people all around the world. The...
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ConTrack: Contextual Transformer for Device Tracking in X-Ray
Device tracking is an important prerequisite for guidance during endovascular procedures. Especially during cardiac interventions, detection and...
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Case Studies on X-ray Imaging, MRI and Nuclear Imaging
The field of medical imaging is an essential aspect of the medical sciences, involving various forms of radiation to capture images of the internal...
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AC-YOLOv4: an object detection model incorporating attention mechanism and atrous convolution for contraband detection in x-ray images
The complex background of X-ray security detection images and the overlap** of contraband items with each other and their different sizes and...
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TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images
Tuberculosis (TB) is a chronic infectious lung disease, which caused the death of about 1.5 million people in 2020 alone. Therefore, it is important...
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COVID-19 Detection from Chest X-Ray Images Using GBM with Comparative Analysis
Effective disease management and control depend on the quick and precise diagnosis of COVID-19. Chest X-ray(CXR) imaging has gained prominence as a...