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X-Ray Imaging Systems for Biomedical Engineering Technology An Essential Guide
This book addresses X-Ray Imaging Systems intended for biomedical engineering technology students and practitioners, and deals with the major...
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Evaluation of x-ray effective focal spot size dependency on x-ray exposure settings using edge response analysis
The effective focal spot size of x-ray tubes is one of the major factors that substantially affect the resultant x-ray images, and it is known to be...
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X-ray image decomposition for improved magnetic navigation
PurposeExisting field generators (FGs) for magnetic tracking cause severe image artifacts in X-ray images. While FG with radio-lucent components...
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Dexmedetomidine ameliorates x-ray-induced myocardial injury via alleviating cardiomyocyte apoptosis and autophagy
BackgroundRadiotherapy is a primary local treatment for tumors, yet it may lead to complications such as radiation-induced heart disease (RIHD)....
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CheXNet and feature pyramid network: a fusion deep learning architecture for multilabel chest X-Ray clinical diagnoses classification
The existing multilabel X-Ray image learning tasks generally contain much information on pathology co-occurrence and interdependency, which is very...
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Improved stereo perception in coronary angiography using the X-ray tube as the viewpoint and validation with 3D printed models
Coronary angiography (CAG) provides two-dimensional images, but a clinician who is experienced in percutaneous coronary interventions can use...
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Self-supervised learning for gastritis detection with gastric X-ray images
PurposeManual annotation of gastric X-ray images by doctors for gastritis detection is time-consuming and expensive. To solve this, a self-supervised...
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Plain X-ray is insufficient for correct diagnosis of tibial shaft spiral fractures: a prospective trial
PurposeTibial shaft spiral fractures and fractures of the distal third of the tibia (AO:42A/B/C and 43A) frequently occur with non-displaced...
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Attention-enhanced architecture for improved pneumonia detection in chest X-ray images
In this paper, we propose an attention-enhanced architecture for improved pneumonia detection in chest X-ray images. A unique attention mechanism is...
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Optimization of vision transformer-based detection of lung diseases from chest X-ray images
BackgroundRecent advances in Vision Transformer (ViT)-based deep learning have significantly improved the accuracy of lung disease prediction from...
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Reliability of preoperative conventional X-ray diagnostics for multifragmentary midclavicular fractures — a retrospective cohort study
PurposeThe aim of this study was to evaluate the reliability of assessing preoperative conventional X-ray diagnostics in determining whether a...
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Unsupervised synthesis of realistic coronary artery X-ray angiogram
PurposeMedical image analysis suffers from a sparsity of annotated data necessary in learning-based models. Cardiorespiratory simulators have been...
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Stereoscopic X-ray image and thermo-optical surface guidance for breast cancer radiotherapy in deep inspiration breath-hold
PurposeTo investigate the feasibility of a thermo-optical surface imaging (SGRT) system combined with room-based stereoscopic X‑ray image guidance...
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Comparison of patient setup accuracy for optical surface-guided and X-ray-guided imaging with respect to the impact on intracranial stereotactic radiotherapy
PurposeThe objective of this work is to estimate the patient positioning accuracy of a surface-guided radiation therapy (SGRT) system using an...
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Giant Thoracic Aortic Aneurysm Confused with Large Pleural Effusion on the Chest X-Ray
Chest X-Ray is more widely used than any other radiological method to detect any pleuro-parenchymal condition. Some findings can help physicians to...
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Take a shot! Natural language control of intelligent robotic X-ray systems in surgery
PurposeThe expanding capabilities of surgical systems bring with them increasing complexity in the interfaces that humans use to control them....
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Automated Rib Fracture Detection on Chest X-Ray Using Contrastive Learning
To develop a deep learning-based model for detecting rib fractures on chest X-Ray and to evaluate its performance based on a multicenter study. Chest...
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HEX: a safe research framework for hybrid EMT X-ray navigation
PurposeNavigating with continuous X-ray provides visual guidance, but exposes both surgeon and patient to ionizing radiation, which is associated...
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Application of metal stent implantation with endoscope and X-ray fluoroscopy combined laparoscopic surgery in the treatment of acute left hemicolon cancer obstruction
BackgroundThis study aimed to conduct a case–control study of endoscopic and fluoroscopic metal stent placement combined with laparoscopic surgery...
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Evaluating the index of panoramic X-ray image quality using K-means clustering method
BackgroundA panoramic X-ray image is generally considered optimal when the occlusal plane is slightly arched, presenting with a gentle curve....
