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Kennesaw State University

Deep learning for identifying Lung Diseases

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 × 4

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.kennesaw.edu/cs_etd/35
OAI identifier oai:identifier
oai:digitalcommons.kennesaw.edu:cs_etd-1038

Chain of custody

source
Harvested from
Kennesaw State University
Base URL
digitalcommons.kennesaw.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Wang, Lin. Deep learning for identifying Lung Diseases. Thesis thesis, 2020. https://digitalcommons.kennesaw.edu/cs_etd/35