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

Florian HinterwimmerRicardo Smits SerenaNikolas WilhelmSebastian BredenSarah ConsalvoFritz SeidlDominik JuestelRainer H H BurgkartKlaus WoertlerRuediger von Eisenhart-RotheJan NeumannDaniel Rueckert
Published in: European radiology (2024)
• 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.
Keyphrases
  • deep learning
  • bone mineral density
  • machine learning
  • soft tissue
  • bone loss
  • bone regeneration
  • case report
  • postmenopausal women
  • high resolution
  • clinical practice
  • body composition