Image Processing and Deep Learning Diagnostics

Catalog description

This level course equips students with advanced skills in visualizing and analyzing complex health data, integrating both traditional data visualization techniques and modern approaches such as image processing and deep learning. Students will learn to transform raw health data, including clinical and imaging data, into meaningful and interactive visual representations that support data-driven decision-making and diagnostics. The course covers image segmentation and edge detection, visual analytics, and dashboard design, alongside innovative applications of deep learning for medical image analysis and diagnostics. Additionally, deep learning predictive modeling techniques will cover CNN, RNN, and LSTM. By the end of the course, students will be proficient in using advanced visualization tools and deep learning techniques to effectively present and interpret health data for diverse healthcare stakeholders.