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A Study on Lung Disease Diagnosis and Severity Classification using Deep Learning Techniques with Explainable Artificial Intelligence (XAI)

thesis
posted on 2024-07-26, 01:12 authored by Pun Liang Thon
Addressing the critical global challenge of COVID-19, the research delves into the realm of improved lung disease diagnosis through the application of advanced artificial intelligence models. Leveraging Vision Transformers, the study marks a substantial leap forward in accuracy, demonstrating superiority over traditional methods. With a focal point on transparency and interpretability, the research not only contributes essential insights to the landscape of medical diagnosis but also holds the promise of significantly enhancing the efficiency and precision of COVID-19 assessments. This advancement, in turn, stands to make a substantial impact on overalls societal health outcomes.

History

Thesis type

  • Thesis (Masters by research)

Thesis note

Thesis submitted for the Degree of Masters by Research, Swinburne University of Technology, Sarawak 2024.

Copyright statement

Copyright © 2024 Thon Pun Liang.

Supervisors

Patrick Then

Language

eng

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