Cargando…
Toolkits and Libraries for Deep Learning
Deep learning is an important new area of machine learning which encompasses a wide range of neural network architectures designed to complete various tasks. In the medical imaging domain, example tasks include organ segmentation, lesion detection, and tumor classification. The most popular network...
Autores principales: | Erickson, Bradley J., Korfiatis, Panagiotis, Akkus, Zeynettin, Kline, Timothy, Philbrick, Kenneth |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537091/ https://www.ncbi.nlm.nih.gov/pubmed/28315069 http://dx.doi.org/10.1007/s10278-017-9965-6 |
Ejemplares similares
-
Deep Learning in Radiology: Does One Size Fit All?
por: Erickson, Bradley J., et al.
Publicado: (2018) -
RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning
por: Philbrick, Kenneth A., et al.
Publicado: (2019) -
Automated Segmentation of Hyperintense Regions in FLAIR MRI Using Deep Learning
por: Korfiatis, Panagiotis, et al.
Publicado: (2016) -
Semi-automated segmentation of pre-operative low grade gliomas in magnetic resonance imaging
por: Akkus, Zeynettin, et al.
Publicado: (2015) -
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
por: Akkus, Zeynettin, et al.
Publicado: (2017)