The course aims to cover medical image processing and analysis techniques, including de-noising, registration, segmentation, and 3D reconstruction, applicable in diagnostic imaging modalities such as ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI). The course will also cover machine learning topics related to medical image analysis. Clinical examples in cardiovascular, musculoskeletal, and brain imaging will be discussed. Prerequisite: Linear algebra and knowledge i...
The course aims to cover medical image processing and analysis techniques, including de-noising, registration, segmentation, and 3D reconstruction, applicable in diagnostic imaging modalities such as ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI). The course will also cover machine learning topics related to medical image analysis. Clinical examples in cardiovascular, musculoskeletal, and brain imaging will be discussed. Prerequisite: Linear algebra and knowledge i...
