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Automated classification of focal breast lesions according to S-detect: validation and role as a clinical and teaching tool.

Mattia Di SegniValeria de SoccioVito CantisaniGiacomo BonitoAntonello RubiniGabriele Di SegniSveva LamorteValentina MagriCorrado De VitoGiuseppe MigliaraTommaso Vincenzo BartolottaAlessio MetereLaura GiacomelliCarlo de FeliceFerdinando D'Ambrosio
Published in: Journal of ultrasound (2018)
S-detect is a feasible tool for the characterization of breast lesions; it has a potential as a teaching tool for the less experienced operators.
Keyphrases
  • machine learning
  • deep learning
  • medical students
  • high throughput
  • medical education