CS 6342 - Machine Learning for Medical Imaging

Institution:

Utah Tech University

Subject:

Computer Science

Description:

This course explores the principles and techniques used in the processing and analysis of medical images. This course presents machine learning models for analysis of medical imaging data, including image processing, cell segmentation, image registration, and disease classification. **COURSE LEARNING OUTCOMES (CLOs)** At the successful conclusion of this course students will: 1. Perform basic medical imaging processing, including loading, saving, and transforming images. 2. Construct and apply convolutional neural network architectures and related techniques for classification of images. 3. Create machine learning architectures for image segmentation and registration of medical images. 4. Construct machine learning models for identification and diagnosis of disease from medical images. Prerequisites: CS 6330 (B- or higher); AND CS 6331 (B- or higher). SP

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utahtech.edu/

Phone Number:

(435) 652-7500

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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