Artificial Intelligence for Detection of External Cervical Resorption Using Label-efficient Self-supervised Learning Method

The aim of this study was to leverage label-efficient self-supervised learning (SSL) to train a model that can detect ECR and differentiate it from caries.
Source: Journal of Endodontics - Category: Dentistry Authors: Tags: Clinical Research Source Type: research