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Inter- and intra-observer variability of qualitative visual breast-composition assessment in mammography among Japanese physicians: a first multi-institutional observer performance study in Japan.

Yoichi KoyamaKazuaki NakashimaShunichiro OriharaHiroko TsunodaFuyo KimuraNatsuki UenakaKanako BanYukiko MichishitaYoshihide KanemakiArisa KuriharaKanae TawarayaMasataka TaguriTakashi IshikawaTakayoshi Uematsu
Published in: Breast cancer (Tokyo, Japan) (2024)
Qualitative visual assessment of mammographic breast composition using the new Japanese classification revealed excellent intra-observer reproducibility. However, persistent inter-observer variability, presenting a challenge in establishing it as the gold standard in Japan.
Keyphrases
  • primary care
  • machine learning
  • systematic review
  • deep learning
  • single cell
  • contrast enhanced
  • magnetic resonance imaging
  • image quality