Date of Submission
Summer 7-14-2020
Degree Type
Thesis
Degree Name
Master of Science in Computer Science (MSCS)
Department
Computer Science
Track
Others
Chair
Dr. Mohammed Aledhari
Committee Member
Dr. Chih-Cheng Hung
Committee Member
Dr. Hisham M. Haddad
Abstract
Growing health problems, such as lung diseases, especially for children and the elderly, require better diagnostic methods, such as computer-based solutions, and it is crucial to detect and treat these problems early. The purpose of this article is to design and implement a new computer vision-based algorithm based on lung disease diagnosis, which has better performance in lung disease recognition than previous models to reduce lung-related health problems and costs . In addition, we have improved the accuracy of the five lung diseases detection, which helps doctors and doctors use computers to solve this problem at an early stage.
Recommended Citation
Wang, Lin, "Deep learning for identifying Lung Diseases" (2020). Master of Science in Computer Science Theses. 35.
https://digitalcommons.kennesaw.edu/cs_etd/35