Convex non-negative matrix factorization for brain tumor delimitation from MRSI data.
<h4>Background</h4>Pattern Recognition techniques can provide invaluable insights in the field of neuro-oncology. This is because the clinical analysis of brain tumors requires the use of non-invasive methods that generate complex data in electronic format. Magnetic Resonance (MR), in th...
Enregistré dans:
Auteurs principaux: | Sandra Ortega-Martorell, Paulo J G Lisboa, Alfredo Vellido, Rui V Simões, Martí Pumarola, Margarida Julià-Sapé, Carles Arús |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Public Library of Science (PLoS)
2012
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/5c2a30daa52545bc8b3509b1c211a1fb |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
A novel semi-supervised methodology for extracting tumor type-specific MRS sources in human brain data.
par: Sandra Ortega-Martorell, et autres
Publié: (2013) -
Trace-Inequalities and Matrix-Convex Functions
par: Tsuyoshi Ando
Publié: (2010) -
Robust Structured Convex Nonnegative Matrix Factorization for Data Representation
par: Qing Yang, et autres
Publié: (2021) -
The role of littoral cliffs in the niche delimitation on a microendemic plant facing climate change.
par: Miguel R Ferreira, et autres
Publié: (2021) -
The role of littoral cliffs in the niche delimitation on a microendemic plant facing climate change
par: Miguel R. Ferreira, et autres
Publié: (2021)