Titlebook: Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for; 10th Workshop, CLIP Cristina Oyarzun

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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for978-3-030-90874-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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定点

0302-9743 AI Workshop on Distributed and Collaborative Learning, DCL 2021, First MICCAI Workshop, LL-COVID19, First Secure and Privacy-Preserving Machine Learning for Medical Imaging Workshop and Tutorial, PPML 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take pla

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https://doi.org/10.1007/978-94-011-9416-7Flow Federated, PySyft and Flower were tested and their usability was assessed. Additionally, experiments on classification of X-ray lung images with the use of the Flower framework were performed in a fully distributed setting using Google Cloud Platform.

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Arwyn Jones,Alan Belward,Marc Van Liedekerkeutility of the pleura and adipose tissue using an HFL ultrasound probe. Masking the adipose tissue during training and inference (while retaining the pleural line and Merlin’s space artifacts such as A-lines and B-lines) improved the AI model’s diagnostic accuracy.

具体

Federated Learning in the Cloud for Analysis of Medical Images - Experience with Open Source FramewoFlow Federated, PySyft and Flower were tested and their usability was assessed. Additionally, experiments on classification of X-ray lung images with the use of the Flower framework were performed in a fully distributed setting using Google Cloud Platform.

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