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Breaking Down Covariate Shift on Pneumothorax Chest X-Ray Classification
Domain shift poses significant problems to computer-aided diagnostic (CAD) systems when deployed in clinical scenarios. There’s still no definite fix...
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Welding Defect Detection Using X-Ray Images Based on Deep Segmentation Network
Automated detection of welding defects in X-ray images is critical for ensuring the quality of welded structures. However, accurately locating...
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X-Ray to CT Rigid Registration Using Scene Coordinate Regression
Intraoperative fluoroscopy is a frequently used modality in minimally invasive orthopedic surgeries. Aligning the intraoperatively acquired X-ray...
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A preliminary study for image degradation by grid cutoff and radiation scattering in oblique X-ray imaging
In clinical X-ray imaging, a focused grid is used to enhance image contrast by removing scattered radiation. The focused grid removes scattered...
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Segment-wise Evaluation in X-ray Angiography Stenosis Detection
X-ray coronary angiography is the gold standard imaging modality for the assessment of coronary artery disease (CAD). The SYNTAX score is a...
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Pelphix: Surgical Phase Recognition from X-Ray Images in Percutaneous Pelvic Fixation
Surgical phase recognition (SPR) is a crucial element in the digital transformation of the modern operating theater. While SPR based on video sources...
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Improving Automated Baggage Inspection Using Simulated X-ray Images of 3D Models
X-ray baggage inspection is essential to ensure transport and border security, as it prevents hazardous objects from entering secure areas....
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Classification and Detection of Prohibited Objects in X-Ray Baggage Security Images
Airport security is strengthened by baggage screening to prevent potential threats and ensure safety. Researchers have been striving to create more...
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X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation
An important component of human analysis of medical images and their context is the ability to relate newly seen things to related instances in our...
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Online Learning for X-Ray, CT or MRI
Medical imaging plays an important role in the medical sector in identifying diseases. X-ray, computed tomography (CT) scans, and magnetic resonance...
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A Systematic Review: Classification of Lung Diseases from Chest X-Ray Images Using Deep Learning Algorithms
The purpose of this survey is to provide a comprehensive review of the most recent publications on lung disease classification from chest X-ray...
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Chest X-ray Image Classification: A Causal Perspective
The chest X-ray (CXR) is a widely used and easily accessible medical test for diagnosing common chest diseases. Recently, there have been numerous...
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Generating Chinese Radiology Reports from X-Ray Images: A Public Dataset and an X-ray-to-Reports Generation Method
Deep learning methods have revolutionized medical image analysis, enabling tasks such as lesion classification, segmentation, and detection. However,...
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DeepLOC: Deep Learning-Based Bone Pathology Localization and Classification in Wrist X-Ray Images
In recent years, computer-aided diagnosis systems have shown great potential in assisting radiologists with accurate and efficient medical image...
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DIFDD: Deep intelligence framework for disease detection using patients electrocardiogram signals and X-ray images
Heart disease has been the leading cause of mortality worldwide in the recent decade. Since 2019, new lung-related infections have increased heart...
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Unlearning Spurious Correlations in Chest X-Ray Classification
Medical image classification models are frequently trained using training datasets derived from multiple data sources. While leveraging multiple data...
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X-Ray image-based COVID-19 detection using deep learning
COVID-19 is a type of respiratory infection that primarily affects the lungs. Obtaining a chest X-ray is one of the most important steps in detecting...
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Geometry Parameter Estimation for Sparse X-Ray Log Imaging
We consider geometry parameter estimation in industrial sawmill fan-beam X-ray tomography. In such industrial settings, scanners do not always allow...
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ViT: Quantifying Chest X-Ray Images Using Vision Transformer & XAI Technique
As the availability of chest X-ray images increases and the demand for automated diagnosis grows, researchers have turned to deep neural networks to...
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Covid-19 Detection Using X-Ray Image
COVID-19 is a highly infectious viral infection with serious global health implications. The use of chest X-ray images to diagnose the severe acute...