Login / Signup

Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions.

Valeria RomeoRenato CuocoloRoberta ApolitoArnaldo StanzioneAntonio VentimigliaAnnalisa VitaleFrancesco VerdeAntonello AccursoMichele AmitranoLuigi InsabatoAnnarita GencarelliRoberta BuonocoreMaria Rosaria ArgenzioAnna Maria CasconeMassimo ImbriacoSimone MaureaArturo Brunetti
Published in: European radiology (2021)
• Machine learning showed good accuracy in discriminating benign from malignant breast lesions • The machine learning classifier's performance was comparable to that of a breast radiologist • The radiologist's accuracy improved with machine learning, but not significantly.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • deep learning
  • magnetic resonance imaging
  • squamous cell carcinoma
  • computed tomography
  • magnetic resonance
  • contrast enhanced