Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application

Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application

Internet of Medical Things (IoMT) provides an excellent opportunity to investigate better automatic medical decision support tools with the effective integration of various medical equipment and associated data. This study explores two such medical decision-making tasks, namely COVID-19 detection an...

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Autors principals: Mahbub Ul Alam, Rahim Rahmani
Format: Article
Idioma:English
Publicat: MDPI AG 2021-07-01
Col·lecció:Sensors
Matèries:
internet of medical things
federated learning
semi-supervised machine learning
multi-task learning
transfer learning
Accés en línia:https://www.mdpi.com/1424-8220/21/15/5025

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https://www.mdpi.com/1424-8220/21/15/5025

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