International Journal of Biomedical Imaging / 2012 / Article / Fig 3

Research Article

Regularization in Retrieval-Driven Classification of Clustered Microcalcifications for Breast Cancer

Figure 3

Classification performance (AUC) achieved by the case-adaptive classifiers with/without regularization (Ada-Reg-Non, Ada-Reg-Uni and Ada-Reg-Var). The number of retrieved cases was varied from 6 to 300. For comparison, results are also shown for the baseline classifier (LR), the classifier trained with all the available cases (LR-all), and the adaptive classifier in [22] (Ada-LR).
463408.fig.003

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at help@hindawi.com to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19. Sign up here as a reviewer to help fast-track new submissions.