Cargando…
3D scattering transforms for disease classification in neuroimaging
Classifying neurodegenerative brain diseases in MRI aims at correctly assigning discrete labels to MRI scans. Such labels usually refer to a diagnostic decision a learner infers based on what it has learned from a training sample of MRI scans. Classification from MRI voxels separately typically does...
Autores principales: | Adel, Tameem, Cohen, Taco, Caan, Matthan, Welling, Max |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5338908/ https://www.ncbi.nlm.nih.gov/pubmed/28289601 http://dx.doi.org/10.1016/j.nicl.2017.02.004 |
Ejemplares similares
-
Spatial versus angular resolution for tractography-assisted planning of deep brain stimulation
por: Liebrand, Luka C., et al.
Publicado: (2019) -
Relationship between muscarinic M(1) receptor binding and cognition in medication-free subjects with psychosis()
por: Bakker, Geor, et al.
Publicado: (2018) -
The muscarinic M(1) receptor modulates associative learning and memory in psychotic disorders
por: Bakker, Geor, et al.
Publicado: (2020) -
ADHD and maturation of brain white matter: A DTI study in medication naive children and adults
por: Bouziane, Cheima, et al.
Publicado: (2017) -
Magnetic resonance spectroscopy as marker for neurodegeneration in X-linked adrenoleukodystrophy
por: van de Stadt, Stephanie I.W., et al.
Publicado: (2021)