Cargando…
Leveraging uncertainty information from deep neural networks for disease detection
Deep learning (DL) has revolutionized the field of computer vision and image processing. In medical imaging, algorithmic solutions based on DL have been shown to achieve high performance on tasks that previously required medical experts. However, DL-based solutions for disease detection have been pr...
Autores principales: | Leibig, Christian, Allken, Vaneeda, Ayhan, Murat Seçkin, Berens, Philipp, Wahl, Siegfried |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5736701/ https://www.ncbi.nlm.nih.gov/pubmed/29259224 http://dx.doi.org/10.1038/s41598-017-17876-z |
Ejemplares similares
-
Automatic interpretation of otoliths using deep learning
por: Moen, Endre, et al.
Publicado: (2018) -
The Subcellular Distribution of T-Type Ca(2+) Channels in Interneurons of the Lateral Geniculate Nucleus
por: Allken, Vaneeda, et al.
Publicado: (2014) -
Multitask Learning for Activity Detection in Neovascular Age-Related Macular Degeneration
por: Ayhan, Murat Seçkin, et al.
Publicado: (2023) -
Risk, uncertainty, and leverage()
por: Istiak, Khandokar, et al.
Publicado: (2020) -
Quantifying deep neural network uncertainty for atrial fibrillation detection with limited labels
por: Chen, Brian, et al.
Publicado: (2022)