Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation

Deep learning models for semantic segmentation of images require large amounts of data. In the medical imaging domain, acquiring sufficient data is a significant challenge. Labeling medical image data requires expert knowledge. Collaboration between institutions could address this challenge, but sha...

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Veröffentlicht in:	Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop) Jg. 11383; S. 92
Hauptverfasser:	Sheller, Micah J, Reina, G Anthony, Edwards, Brandon, Martin, Jason, Bakas, Spyridon
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland 2019
Schlagworte:	Incremental Glioma Segmentation BraTS Federated Machine Learning Deep Learning
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