Abstract
dc:description.abstract<p>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.</p>
Degree
thesis:*- Name thesis:degree_name
- Master of Science in Computer Science (MSCS)
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Computer Science
- Year dc:date.available
- 2020
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Wang, Lin
- Contributors dc:contributor
-
- Dr. Mohammed Aledhari
- Dr. Chih-Cheng Hung
Subjects
dc:subject × 4Identifiers
dc:identifier.*- Repository record dc:identifier
- https://digitalcommons.kennesaw.edu/cs_etd/35
- OAI identifier oai:identifier
- oai:digitalcommons.kennesaw.edu:cs_etd-1038