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Computational models and approaches for lung cancer diagnosis

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thesis
posted on 2019-10-01, 00:00 authored by Hasseeb Azzawi
The success of treatment of patients with cancer depends on establishing an accurate diagnosis. To this end, the aim of this study is to developed novel lung cancer diagnostic models. New algorithms are proposed to analyse the biological data and extract knowledge that assists in achieving accurate diagnosis results.

History

Pagination

116 p.

Open access

  • Yes

Material type

thesis

Resource type

thesis

Language

eng

Degree type

Research doctorate

Degree name

Ph.D.

Copyright notice

The author

Editor/Contributor(s)

J Hou

Faculty

Faculty of Science

School

Engineering and Built Environment