Cargando…
Weakly Supervised Skull Stripping of Magnetic Resonance Imaging of Brain Tumor Patients
Automatic brain tumor segmentation is particularly challenging on magnetic resonance imaging (MRI) with marked pathologies, such as brain tumors, which usually cause large displacement, abnormal appearance, and deformation of brain tissue. Despite an abundance of previous literature on learning-base...
Autores principales: | Ranjbar, Sara, Singleton, Kyle W., Curtin, Lee, Rickertsen, Cassandra R., Paulson, Lisa E., Hu, Leland S., Mitchell, Joseph Ross, Swanson, Kristin R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406204/ https://www.ncbi.nlm.nih.gov/pubmed/37555156 http://dx.doi.org/10.3389/fnimg.2022.832512 |
Ejemplares similares
-
Automation of Cranial Nerve Tractography by Filtering Tractograms for Skull Base Surgery
por: Decroocq, Méghane, et al.
Publicado: (2022) -
Magnetic Resonance Imaging Findings of Term and Preterm Hypoxic-Ischemic Encephalopathy: A Review of Relevant Animal Models and Correlation to Human Imaging
por: Jisa, Kyle A., et al.
Publicado: (2018) -
Editorial: Autonomous magnetic resonance imaging
por: Geethanath, Sairam, et al.
Publicado: (2023) -
Magnetic Resonance Imaging of Pediatric Primary Cerebral Hydatidosis
por: Borkar, Sachin Anil, et al.
Publicado: (2017) -
Magnetic resonance analysis of malignant transformation in recurrent glioma
por: Jalbert, Llewellyn E., et al.
Publicado: (2016)