Our Knowledge Center
The Knowledge Center is a comprehensive repository of information dedicated to the imaging industry. It offers a wide array of expert articles, cutting-edge research, and practical guides on the latest advancements in imaging technology. Designed for healthcare professionals, this resource hub provides valuable insights and updates to help you stay informed and excel in your field.
White Papers TextRay: Mining Clinical Reports To Gain A Broad Understanding Of Chest X-Rays
The chest X-ray (CXR) is by far the most commonly performed radiological examination for screening and diagnosis of many cardiac and pulmonary diseases.
White Papers Improved Intracranial Hemorrhage Classification using Deep Multi-task Learning
Head CT is one of the most commonly performed imaging studied in the Emergency Department setting and Intracranial hemorrhage (ICH) is among the most critical and timesensitive findings to be detected on Head CT.
White Papers Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement
Breast cancer is the most prevalent malignancy in the US and the third highest cause of cancer-related mortality worldwide.
White Papers RadBot-CXR: Classification of Four Clinical Finding Categories in Chest X-Ray Using Deep Learning
The well-documented global shortage of radiologists is most acutely manifested in countries where the rapid rise of a middle class has created a new capacity to produce imaging studies at a rate which far exceeds the time required to train experts capable of interpreting such studies
White Papers Fully-convolutional deep-learning based system for coronary calcium score prediction from non-contrast chest CT
The amount of calcium deposits in the coronary arteries is a powerful predictor of cardiovascular events and mortality. Agatson score measured on cardiac CT is the routine method to identify subjects at high risk who might benefit from proactive treatment.
White Papers Compression Fractures Detection on CT
The presence of a vertebral compression fracture is highly indicative of osteoporosis and represents the single most robust predictor for development of a second osteoporotic fracture in the spine or elsewhere.
10 Minutes reading
White Papers Language Generation with Recurrent Generative Adversarial Networks without Pre-training
Generative Adversarial Networks (GANs) have shown great promise recently in image generation. Training GANs for language generation has proven to be more difficult, because of the non-differentiable nature of generating text with recurrent neural networks.
White Papers Evaluation Of The Diagnostic Potential Of A Novel Tomosynthesis System For MSK
Digital tomosynthesis (DTS) is a well-established technology that has become the gold standard for breast mammography. In recent years its benefits in musculoskeletal (MSK) imaging have been acknowledged and lead to a rapid increase in its utilization.
White Papers Evaluation Of The Diagnostic Potential Of A Novel Tomosynthesis System For Chest And Lung Diseases
Chest Digital Tomosynthesis (DTS) is known for its capability to overcome significant chest radiographs limitations (CXR). It improves detection of chest lesions and their anatomic localization and can exclude false lesions.
White Papers Digital Tomosynthesis Applications and the NANO-X Solution
Digital Tomosynthesis (DTS) is a well-established technique for producing slice images using x-ray systems. It is a refinement of conventional geometric tomography, which was developed in the 1930’s by the Italian radiologist Alessandro Vallebona.
White Papers Solving a global thrive for medical imaging
In developed countries, the distribution of modern technologies is remarkably variable¹, and for many of them it is even the case that demand is running ahead of supply.
10 Minutes reading
White Papers Urgency and Innovation: Transforming Medical Imaging
In a previous document (The Imaging Gap – A life-threatening shortage of diagnostic imaging), the authors presented a wide-ranging view of the status and state of medical imaging today.
Client portal