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 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.
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