Cargando…
Review of Deep Learning Approaches for the Segmentation of Multiple Sclerosis Lesions on Brain MRI
In recent years, there have been multiple works of literature reviewing methods for automatically segmenting multiple sclerosis (MS) lesions. However, there is no literature systematically and individually review deep learning-based MS lesion segmentation methods. Although the previous review also i...
Autores principales: | Zeng, Chenyi, Gu, Lin, Liu, Zhenzhong, Zhao, Shen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7714963/ https://www.ncbi.nlm.nih.gov/pubmed/33328949 http://dx.doi.org/10.3389/fninf.2020.610967 |
Ejemplares similares
-
Accurate segmentation of neonatal brain MRI with deep learning
por: Richter, Leonie, et al.
Publicado: (2022) -
New lesion segmentation for multiple sclerosis brain images with imaging and lesion-aware augmentation
por: Basaran, Berke Doga, et al.
Publicado: (2022) -
Multiple sclerosis lesion segmentation: revisiting weighting mechanisms for federated learning
por: Liu, Dongnan, et al.
Publicado: (2023) -
Automatic segmentation of gadolinium-enhancing lesions in multiple sclerosis using deep learning from clinical MRI
por: Gaj, Sibaji, et al.
Publicado: (2021) -
Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data
por: Ackaouy, Antoine, et al.
Publicado: (2020)