BTEC 424 - Deep Learning Applications for Biomedical Image Analysis (4)

This course provides a knowledge and practical experience in analysis of biomedical images using Deep Learning/Neural Networks. Data includes immunofluorescence and confocal microscopy images, clinical radiology, and tumor immunohistopathology images. Deep learning algorithms covered include convolutional neural networks (CNNs), generative adversarial networks (GANs), and graph neural networks (GNNs). Common image analysis methods will be studied using ImageJ. Class projects and exercises will utilize standardized datasets such as MNIST and CIFAR-10, as well as radiology and histopathology images. (Spring)

Grading: Graded
Course ID: 102926
Consent: No Special Consent Required
Components: Lecture, Laboratory
Prerequisite/Corequisite: Complete BTEC 330, BTEC 362, BTEC 395, and BTEC 350 or STAT 350 with a grade of ‘C’ or better.