HIGHLIGHTS
- who: Adnan Qayyum from the University of Glasgow, Glasgow, UK have published the research work: Dental caries detection using a semi-supervised learning approach, in the Journal: Scientific Reports Scientific Reports of 12/09/2022
- what: To overcome this issue, the authors propose the use of centroid cropping for training MT and MS in a self-supervised learning strategy. The model is then evaluated using unlabelled data. The authors evaluate the generalizability of the self-training method across different architectures of student models using DCD2 with and without the proposed CCS-based. The experiments demonstrate . . .
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