How does deep learning work? How do you implement AI into your daily practice? What are challenges for AI in radiology? Do you want to learn more?
Do you know how a convolutional neural network actually works in radiology? Are you interested to find out why CNNs are so suited for medical image analysis. Read our new blog by Valerio Fortunati, Senior R&D Engineer, and learn more!
We push advanced technology forward to make sure radiologists can spend their time in the best way possible. Our engineers go to great lengths to create user-friendly radiology software solutions for challenging image analyses issues.
I welcome the Quantib™ Brain software in our department because it provides robust quantitative imaging biomarkers. It facilitates a more objective way of evaluating and enables detection of subtle abnormalities.
Quantib™ ND clearly enables constructive multidisciplinary meetings by enabling efficient decision making. It provides a comprehensive overview of imaging results and compares outcomes to a normative database, therefore it enhances the quality of care we can deliver to our patients.
Quantib™ ND allows me to compare my patient’s brain volumetry to a database of thousands of subjects. Now I can quickly detect and quantify deviations from the norm, which is more objective and sensitive than visual assessment alone.