Federated learning: a collaborative effort to achieve better medical imaging models for individual sites that have small labelled datasets

• Published in: Quantitative imaging in medicine and surgery Vol. 11; no. 2; pp. 852 - 857
• Main Authors: Ng, Dianwen, Lan, Xiang, Yao, Melissa Min-Szu, Chan, Wing P., Feng, Mengling
• Format: Journal Article
• Language: English
• Published: China AME Publishing Company 01.02.2021
• Subjects: Review; data; Artificial intelligence (AI); medical imaging; federated learning
• ISSN: 2223-4292; 2223-4306
• DOI: 10.21037/qims-20-595

Despite the overall success of using artificial intelligence (AI) to assist radiologists in performing computer-aided patient diagnosis, it remains challenging to build good models with small datasets at individual sites. Because many medical images do not come with proper labelling for training, th...