SYSC / BIOM 5202
Applications in Biomedical Image Processing

This is a graduate-level course that provides students with theoretical foundations and practical skills in biomedical image processing. The course explores a wide array of image processing strategies—including enhancement, segmentation, registration, and reconstruction—applied to diverse biomedical imaging modalities such as MRI, CT, PET, ultrasound, and microscopy. The course is structured to support students from diverse backgrounds, requiring prior coursework in image or signal processing and proficiency in Matlab or Python. By the end of the term, students are expected to critically analyze biomedical images, implement processing techniques, and effectively communicate their findings through presentations and scientific reports. This course also fosters collaborative and experiential learning, encouraging students to engage in literature reviews or module-based summaries alongside hands-on project development.