Deep learning helps to detect intracranial aneurysms

A deep-learning algorithm called HeadXNet can improve the performance of clinicians...Read more on AuntMinnie.comRelated Reading: Ng details key steps for the adoption of AI in radiology Top 4 priorities for AI research in medical imaging Deep-learning model detects cerebral microbleeds on MRI The 5 things radiology needs to speed up AI use Virtual reality adds depth to brain aneurysm diagnosis
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news