Breast dense tissue segmentation with noisy labels: a hybrid threshold-based and mask-based approach

HIGHLIGHTS

• who: Andrés Larroza and collaborators from the Instituto Tecnológico de la Informática, Universitat Politècnica de València, Camino de Vera, Pública-CIBERESP), III Institute of Health, Monforte de Lemos, , Madrid, Spain have published the research work: Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach, in the Journal: Diagnostics 2022, 12, 1822. of 24/07/2022
• what: The authors propose a novel confusion matrix (CM)-YNet model for the segmentation step. The authors explore further the dense-tissue segmentation step by implementing a new . . .
  

   

  

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