Cargando…
New lesion segmentation for multiple sclerosis brain images with imaging and lesion-aware augmentation
Multiple sclerosis (MS) is an inflammatory and demyelinating neurological disease of the central nervous system. Image-based biomarkers, such as lesions defined on magnetic resonance imaging (MRI), play an important role in MS diagnosis and patient monitoring. The detection of newly formed lesions p...
Autores principales: | Basaran, Berke Doga, Matthews, Paul M., Bai, Wenjia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633994/ https://www.ncbi.nlm.nih.gov/pubmed/36340756 http://dx.doi.org/10.3389/fnins.2022.1007453 |
Ejemplares similares
-
Uncertainty-Aware and Lesion-Specific Image Synthesis in Multiple Sclerosis Magnetic Resonance Imaging: A Multicentric Validation Study
por: Finck, Tom, et al.
Publicado: (2022) -
Editorial: Automatic methods for multiple sclerosis new lesions detection and segmentation
por: Commowick, Olivier, et al.
Publicado: (2023) -
A New Method to Segment the Multiple Sclerosis Lesions on Brain Magnetic Resonance Images
por: Karimian, Alireza, et al.
Publicado: (2015) -
Review of Deep Learning Approaches for the Segmentation of Multiple Sclerosis Lesions on Brain MRI
por: Zeng, Chenyi, et al.
Publicado: (2020) -
Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images
por: Jain, Saurabh, et al.
Publicado: (2015)