Skip to main navigation Skip to search Skip to main content

Background parenchymal uptake classification using deep transfer learning on digital mammograms

  • Xudong Liu
  • , Christopher Scott
  • , Imon Banerjee
  • , Celine Vachon
  • , Carrie Hruska

Research output: Contribution to journal › Review article › peer-review

Original languageEnglish
Article number100573
JournalSmart Health
Volume36
DOIs
StatePublished - Jun 1 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus Subject Areas

  • Medicine (miscellaneous)
  • Information Systems
  • Health Informatics
  • Computer Science Applications
  • Health Information Management

Keywords

  • Background parenchymal uptake classification
  • Breast cancer
  • Deep transfer learning
  • Digital mammograms
  • Health Informatics
  • Machine learning

Fingerprint

Dive into the research topics of 'Background parenchymal uptake classification using deep transfer learning on digital mammograms'. Together they form a unique fingerprint.

Cite this