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Computational models and approaches for lung cancer diagnosis
Abstract
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 resultsSimilar works
This paper was published in Deakin Research Online.
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