Name
Title | ||
|---|---|---|
A framework for the automatic detection and characterization of brain malformations: Validation on the corpus callosum. |
Abstract | ||
|---|---|---|
•We propose a framework for the detection and characterization of brain malformations.•We validate the method on the corpus callosum from a pediatric population.•We extend the one-class SVM to the multiple kernel framework.•We extend the discriminative direction analysis to the multiple kernel framework.•We verify the impact on the diagnosis agreement among neuroradiologists. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.media.2016.05.001 | Medical Image Analysis |
Keywords | Field | DocType |
Malformation detection,Computer aided diagnosis,Support vector machines,Discriminative direction | Kernel (linear algebra),Interpretability,Pattern recognition,Computer science,Support vector machine,Computer-aided diagnosis,Artificial intelligence,Classifier (linguistics),Corpus callosum,Discriminative model,Neuroradiologist,Machine learning | Journal |
Volume | ISSN | Citations |
32 | 1361-8415 | 0 |
PageRank | References | Authors |
0.34 | 10 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Denis Peruzzo | 1 | 13 | 3.24 |
| Filippo Arrigoni | 2 | 1 | 1.72 |
| Fabio Triulzi | 3 | 1 | 0.70 |
| Andrea Righini | 4 | 0 | 0.34 |
| Cecilia Parazzini | 5 | 1 | 0.70 |
| Umberto Castellani | 6 | 687 | 48.51 |