Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
Abstract
Purpose: To present and evaluate Dafne (deep anatomical federated network), a freely available decentralized, collaborative deep learning system for the semantic segmentation of radiological images through federated incremental learning. Materials and Methods: Dafne is free software with a client-server architecture. The client side is an advanced user interface that applies the deep learning models stored on the server to the user's data and allows the user to check and refine the prediction. Incremental learning is then performed at the client's side and sent back to the server, where it is integrated into the root model. Dafne was evaluated locally, by assessing the performance gain across model generations on 38 MRI datasets of the lower legs, and through the analysis of real-world usage statistics (n = 639 use-cases). Results: Dafne demonstrated a statistically improvement in the accuracy of semantic segmentation over time (average increase of the Dice Similarity Coefficient by 0.007 points/generation on the local validation set, p < 0.001). Qualitatively, the models showed enhanced performance on various radiologic image types, including those not present in the initial training sets, indicating good model generalizability. Conclusion: Dafne showed improvement in segmentation quality over time, demonstrating potential for learning and generalization.
Authors 14
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University of Basel · University Hospital of Basel · Department of Biomedicine Basel
Affiliation as printed
. Basel Muscle MRI , Department of Biomedical Engineering , University of Basel , Basel , Switzerland
. Department of Radiology , University Hospital Basel , Basel , Switzerland
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Affiliation as printed
. Department of Radiology , University Hospital Basel , Basel , Switzerland
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Affiliation as printed
. Department of Mathematics , University of Pavia , Pavia , Italy
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University of Basel · University Hospital of Basel · Department of Biomedicine Basel
Affiliation as printed
. Basel Muscle MRI , Department of Biomedical Engineering , University of Basel , Basel , Switzerland
. Department of Radiology , University Hospital Basel , Basel , Switzerland
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Kevin R. Keene Aachen
Leiden University Medical Center
Affiliation as printed
. Department of Neurology , Leiden University Medical Center , Leiden , The Netherlands
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Hermien E. Kan Aachen C.J. Gorter MRI Center Department of Radiology, Leiden University Medical Center
Leiden University Medical Center
Affiliation as printed
. C.J. Gorter MRI Center , Department of Radiology , Leiden University Medical Center , Leiden , The Netherlands
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Peking Union Medical College Hospital
Affiliation as printed
. Peking Union Medical College Hospital , Beijing , China
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University of Basel · University Hospital of Basel · Department of Biomedicine Basel
Affiliation as printed
. Basel Muscle MRI , Department of Biomedical Engineering , University of Basel , Basel , Switzerland
. Department of Radiology , University Hospital Basel , Basel , Switzerland
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Istituti Clinici Scientifici Maugeri
Affiliation as printed
. Istituti Clinici Scientifici Maugeri IRCCS , Servizio di Diagnostica per Immagini -Istituto di Montescano , Italy
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Fondazione Istituto Neurologico Nazionale Casimiro Mondino
Affiliation as printed
. Advanced imaging and radiomics center , Neuroradiology Department , IRCCS Mondino Foundation , Pavia , Pavia , Italy
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Affiliation as printed
. Department of Radiology , NYU Grossman School of Medicine , New York , NY , USA
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Stanford Medicine · Stanford University
Affiliation as printed
. Department of Electrical Engineering , Stanford University , Stanford CA , USA
. Department of Radiology , Stanford University , Stanford , CA , USA
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