 |
Free and accessible knowledge |
Conference papers
Tumor classification and prediction using robust multivariate clustering of multiparametric MRI
Abstract : In neuro-oncology, the use of multiparametric MRI may better characterize brain tumor heterogeneity. To fully exploit multiparametric MRI (e.g. tumor classification), appropriate analysis methods are yet to be developed. In this work, we show on small animals data that advanced statistical learning approaches can help 1) in organizing existing data by detecting and excluding outliers and 2) in building a dictionary of tumor fingerprints from a clustering analysis of their microvascular features.
https://hal.archives-ouvertes.fr/hal-01253584
Contributor : Alexis Arnaud Connect in order to contact the contributor
Submitted on : Monday, January 11, 2016 - 9:27:38 AM
Last modification on : Thursday, January 20, 2022 - 5:30:21 PM
Long-term archiving on: : Tuesday, April 12, 2016 - 11:06:08 AM
Contributor : Alexis Arnaud Connect in order to contact the contributor
Submitted on : Monday, January 11, 2016 - 9:27:38 AM
Last modification on : Thursday, January 20, 2022 - 5:30:21 PM
Long-term archiving on: : Tuesday, April 12, 2016 - 11:06:08 AM
File
radF2633.pdf
Files produced by the author(s)