\begin{figure}\includegraphics[clip, trim={0cm 0cm 0cm 0cm}, width=\linewidth]{figures/Ranking/severity_age_combined.eps}
    \centering
    \caption[Comparison of binary classifier, RankNet and Combined model.]{Comparison of a binary classifier logit output, RankNet output and combined loss model for ranking performance of patient age. The classifier is trained with the full binary label set without ranked labels in each case (hence the output is invariant to the ranked data count), while RankNet is trained with only the ranked subset specified in the column headings. The combined loss model, trained with both the full binary set and ranked subset, outperforms both the independent classifier and RankNet models with 10,000 and 100,000 ranked training images, implying that incorporating ranked training data can improve classifier performance.
}
\label{fig:ranking:severity_age_combined}
\end{figure}