Recommender-based bone tumour classification with radiographs —a link to the past

ConclusionOur novel approach surpasses current models in tumour classification and links to past patient data, leveraging expert insights.Clinical relevance statementThe proposed algorithm could serve as a vital support tool for clinicians and general practitioners with limited experience in bone tumour classification by identifying similar cases and classifying bone tumour entities.Key Points•Addressed accurate bone tumour classification using radiographic features.•Model achieved 92.86%, 92.86% and 34.08% mean accuracy, precision and recall, respectively, significantly surpassing state-of-the-art models.•Enhanced diagnosis by integrating prior expert patient assessments.Graphical abstract
Source: European Radiology - Category: Radiology Source Type: research