Clinical validation pipeline of a deep learning model for segmenting and quantifying intracranial and ventricular volumes on computed tomography
The field of radiology is experiencing a surge in demand due to advances in medical imaging, particularly in techniques such as magnetic resonance imaging and computed tomography (CT). However, the interpretation of these scans relies heavily on the availability of experts, which is challenging in resource-limited regi...