Cargando…
Object Detection Improves Tumour Segmentation in MR Images of Rare Brain Tumours
SIMPLE SUMMARY: This study evaluates the impact of adding an object detection framework into brain tumour segmentation models, especially when the models are applied to different domains. In recent years, multiple models have been successfully applied to brain tumour segmentation tasks. However, the...
Autores principales: | Chegraoui, Hamza, Philippe, Cathy, Dangouloff-Ros, Volodia, Grigis, Antoine, Calmon, Raphael, Boddaert, Nathalie, Frouin, Frédérique, Grill, Jacques, Frouin, Vincent |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657375/ https://www.ncbi.nlm.nih.gov/pubmed/34885222 http://dx.doi.org/10.3390/cancers13236113 |
Ejemplares similares
-
Multimodal MRI radiomic models to predict genomic mutations in diffuse intrinsic pontine glioma with missing imaging modalities
por: Khalid, Fahad, et al.
Publicado: (2023) -
Integrating multiomics and prior knowledge: a study of the Graphnet penalty impact
por: Chegraoui, Hamza, et al.
Publicado: (2023) -
Neural and behavioral signature of human social perception
por: Saitovitch, Ana, et al.
Publicado: (2019) -
Rest Functional Brain Maturation during the First Year of Life
por: Lemaître, Hervé, et al.
Publicado: (2020) -
Cortical signatures in behaviorally clustered autistic traits subgroups: a population-based study
por: Mihailov, Angeline, et al.
Publicado: (2020)