Multiparametric Classification of Tumors
Julio Cárdenas-Rodríguez1

1Departments of Medical Imaging and Biomedical Engineering, University of Arizona, Tucson, AZ, United States

Synopsis

In this lecture I will describe the statistical principles to use multiparametric MRI to classify tumors. I will also discuss the most common mistakes made during the training of predictive models based on imaging data, and will propose best practices to increase the predictive value of multiparametric MRI.

Acknowledgements

No acknowledgement found.

References

No reference found.

Figures

Analysis of multiparametric MR data



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)