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Title:

Efficient, high-performance semantic segmentation using multi-scale feature extraction.

Document type:
Journal Article
Author(s):
Knolle, Moritz; Kaissis, Georgios; Jungmann, Friederike; Ziegelmayer, Sebastian; Sasse, Daniel; Makowski, Marcus; Rueckert, Daniel; Braren, Rickmer
Abstract:
The success of deep learning in recent years has arguably been driven by the availability of large datasets for training powerful predictive algorithms. In medical applications however, the sensitive nature of the data limits the collection and exchange of large-scale datasets. Privacy-preserving and collaborative learning systems can enable the successful application of machine learning in medicine. However, collaborative protocols such as federated learning require the frequent transfer of par...     »
Journal title abbreviation:
PLoS ONE
Year:
2021
Journal volume:
16
Journal issue:
8
Fulltext / DOI:
doi:10.1371/journal.pone.0255397
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/34411138
Print-ISSN:
1932-6203
TUM Institution:
Institut für Diagnostische und Interventionelle Radiologie; Institut für Medizinische Statistik und Epidemiologie
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