Cargando…
Target area distillation and section attention segmentation network for accurate 3D medical image segmentation
3D medical image segmentation has an essential role in medical image analysis, while attention mechanism has improved the performance by a large margin. However, existing methods obtained the attention coefficient in a small receptive field, resulting in possible performance limitations. Radiologist...
Autores principales: | Xie, Ruiwei, Pan, Dan, Zeng, An, Xu, Xiaowei, Wang, Tianchen, Ullah, Najeeb, Ji, Yuzhu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884720/ https://www.ncbi.nlm.nih.gov/pubmed/36721638 http://dx.doi.org/10.1007/s13755-022-00200-z |
Ejemplares similares
-
Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation
por: Jiang, Jue, et al.
Publicado: (2022) -
Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation
por: Noothout, Julia M. H., et al.
Publicado: (2022) -
Towards liver segmentation in the wild via contrastive distillation
por: Fogarollo, Stefano, et al.
Publicado: (2023) -
Improved UNet with Attention for Medical Image Segmentation
por: AL Qurri, Ahmed, et al.
Publicado: (2023) -
FCKDNet: A Feature Condensation Knowledge Distillation Network for Semantic Segmentation
por: Yuan, Wenhao, et al.
Publicado: (2023)